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 660
R² 0.8901
coef (ms) 0.007677
p-value 1.00e-03
95% CI [0.007473, 0.007871]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.890
Model: NNLS Adj. R-squared: 0.890
No. Observations: 660 RMSE: 79.41
Df Residuals: 658 MAE: 63.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.8836 8.8363 0.001 149.2573 183.2056
opcount 0.0077 0.0001 0.001 0.0075 0.0079
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · erigon
nobs 341
R² 0.9752
coef (ms) 0.006724
p-value 1.00e-03
95% CI [0.006608, 0.006763]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 341 RMSE: 31.56
Df Residuals: 339 MAE: 26.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.8825 1.000 0.0000 9.5415
opcount 0.0067 0.0000 0.001 0.0066 0.0068
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · ethrex
nobs 484
R² 0.9038
coef (ms) 0.009005
p-value 1.00e-03
95% CI [0.008891, 0.009111]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 484 RMSE: 111.41
Df Residuals: 482 MAE: 94.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0090 0.0001 0.001 0.0089 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · geth
nobs 462
R² 0.9714
coef (ms) 0.02428
p-value 1.00e-03
95% CI [0.02387, 0.02468]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 462 RMSE: 122.53
Df Residuals: 460 MAE: 99.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 574.2075 17.9298 0.001 540.5402 609.9322
opcount 0.0243 0.0002 0.001 0.0239 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 396
R² 0.9041
coef (ms) 0.00344
p-value 1.00e-03
95% CI [0.003327, 0.003569]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 396 RMSE: 32.98
Df Residuals: 394 MAE: 22.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.4715 4.7033 0.001 43.4642 62.5860
opcount 0.0034 0.0001 0.001 0.0033 0.0036
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 583
R² 0.9525
coef (ms) 0.001254
p-value 1.00e-03
95% CI [0.001233, 0.001275]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.952
No. Observations: 583 RMSE: 8.24
Df Residuals: 581 MAE: 6.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.6934 1.0184 0.001 34.7583 38.5953
opcount 0.0013 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 660
R² 0.9419
coef (ms) 0.0146
p-value 1.00e-03
95% CI [0.01433, 0.01488]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 660 RMSE: 106.74
Df Residuals: 658 MAE: 84.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 389.6412 12.2422 0.001 366.3564 415.1016
opcount 0.0146 0.0001 0.001 0.0143 0.0149
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 341
R² 0.9751
coef (ms) 0.006594
p-value 1.00e-03
95% CI [0.006547, 0.006632]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 341 RMSE: 31.37
Df Residuals: 339 MAE: 24.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.7814 1.000 0.0000 2.4963
opcount 0.0066 0.0000 0.001 0.0065 0.0066
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · ethrex
nobs 484
R² 0.9502
coef (ms) 0.01319
p-value 1.00e-03
95% CI [0.01309, 0.01329]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 484 RMSE: 106.07
Df Residuals: 482 MAE: 91.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0132 0.0001 0.001 0.0131 0.0133
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · geth
nobs 462
R² 0.9664
coef (ms) 0.02381
p-value 1.00e-03
95% CI [0.02337, 0.02424]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 462 RMSE: 130.73
Df Residuals: 460 MAE: 105.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 543.5889 19.0122 0.001 506.2580 582.2821
opcount 0.0238 0.0002 0.001 0.0234 0.0242
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 396
R² 0.9747
coef (ms) 0.008981
p-value 1.00e-03
95% CI [0.008833, 0.009134]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 396 RMSE: 42.61
Df Residuals: 394 MAE: 33.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 118.4811 6.4449 0.001 105.4202 131.1190
opcount 0.0090 0.0001 0.001 0.0088 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 583
R² 0.9475
coef (ms) 0.001417
p-value 1.00e-03
95% CI [0.001391, 0.001444]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.947
No. Observations: 583 RMSE: 9.81
Df Residuals: 581 MAE: 7.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.6477 1.2598 0.001 30.1216 34.9619
opcount 0.0014 0.0000 0.001 0.0014 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · besu
nobs 1320
R² 0.1327
coef (ms) 0.0001925
p-value 1.00e-03
95% CI [0.0001653, 0.0002187]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.133
Model: NNLS Adj. R-squared: 0.132
No. Observations: 1320 RMSE: 310.74
Df Residuals: 1318 MAE: 278.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 287.4107 25.3916 0.001 237.6703 337.4814
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · erigon
nobs 682
R² 0.8884
coef (ms) 4.685e-05
p-value 1.00e-03
95% CI [4.564e-05, 4.807e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.888
No. Observations: 682 RMSE: 10.49
Df Residuals: 680 MAE: 7.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.6160 1.1720 0.001 20.3986 24.8809
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 968
R² 0.6731
coef (ms) 2.15e-05
p-value 1.00e-03
95% CI [2.036e-05, 2.259e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.673
Model: NNLS Adj. R-squared: 0.673
No. Observations: 968 RMSE: 9.46
Df Residuals: 966 MAE: 6.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6405 1.1949 0.001 18.2950 23.1943
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 924
R² 0.8454
coef (ms) 4.433e-05
p-value 1.00e-03
95% CI [4.302e-05, 4.551e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.845
No. Observations: 924 RMSE: 11.97
Df Residuals: 922 MAE: 9.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.1501 1.1607 0.001 25.9961 30.5625
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 792
R² 0.774
coef (ms) 0.0001545
p-value 1.00e-03
95% CI [0.0001485, 0.0001606]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.774
No. Observations: 792 RMSE: 52.73
Df Residuals: 790 MAE: 40.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 115.1071 5.8921 0.001 103.2357 126.4289
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 1166
R² 0.5289
coef (ms) 7.805e-06
p-value 1.00e-03
95% CI [7.41e-06, 8.22e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.528
No. Observations: 1166 RMSE: 4.65
Df Residuals: 1164 MAE: 3.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.9948 0.4047 0.001 7.2253 8.7784
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 660
R² 0.6947
coef (ms) 0.00827
p-value 1.00e-03
95% CI [0.007826, 0.008706]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.695
Model: NNLS Adj. R-squared: 0.694
No. Observations: 660 RMSE: 154.93
Df Residuals: 658 MAE: 116.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 428.0959 19.2420 0.001 390.6250 466.7776
opcount 0.0083 0.0002 0.001 0.0078 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 341
R² 0.971
coef (ms) 0.006638
p-value 1.00e-03
95% CI [0.006508, 0.006759]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 341 RMSE: 32.41
Df Residuals: 339 MAE: 26.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1839 5.5030 0.017 1.1284 22.2256
opcount 0.0066 0.0001 0.001 0.0065 0.0068
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · ethrex
nobs 484
R² 0.9341
coef (ms) 0.009486
p-value 1.00e-03
95% CI [0.00939, 0.009571]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.934
Model: NNLS Adj. R-squared: 0.934
No. Observations: 484 RMSE: 85.74
Df Residuals: 482 MAE: 71.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0095 0.0000 0.001 0.0094 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 462
R² 0.9743
coef (ms) 0.02424
p-value 1.00e-03
95% CI [0.02388, 0.02462]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 462 RMSE: 111.37
Df Residuals: 460 MAE: 91.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 556.7716 16.5098 0.001 524.0372 586.6698
opcount 0.0242 0.0002 0.001 0.0239 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 396
R² 0.9268
coef (ms) 0.003462
p-value 1.00e-03
95% CI [0.003361, 0.00356]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 396 RMSE: 27.49
Df Residuals: 394 MAE: 20.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.6415 3.9236 0.001 46.9594 62.2502
opcount 0.0035 0.0000 0.001 0.0034 0.0036
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 583
R² 0.9487
coef (ms) 0.001275
p-value 1.00e-03
95% CI [0.001249, 0.001302]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.949
Model: NNLS Adj. R-squared: 0.949
No. Observations: 583 RMSE: 8.38
Df Residuals: 581 MAE: 6.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.4287 1.1068 0.001 33.1720 37.6690
opcount 0.0013 0.0000 0.001 0.0012 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 660
R² 0.8649
coef (ms) 0.01518
p-value 1.00e-03
95% CI [0.01475, 0.01565]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 660 RMSE: 169.52
Df Residuals: 658 MAE: 127.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 573.9532 20.5348 0.001 531.7723 613.1083
opcount 0.0152 0.0002 0.001 0.0147 0.0157
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 341
R² 0.9764
coef (ms) 0.006611
p-value 1.00e-03
95% CI [0.006541, 0.006648]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 341 RMSE: 29.24
Df Residuals: 339 MAE: 23.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.3074 1.000 0.0000 4.7405
opcount 0.0066 0.0000 0.001 0.0065 0.0066
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · ethrex
nobs 484
R² 0.9709
coef (ms) 0.01394
p-value 1.00e-03
95% CI [0.01386, 0.01402]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 484 RMSE: 76.73
Df Residuals: 482 MAE: 64.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0139 0.0000 0.001 0.0139 0.0140
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 462
R² 0.9717
coef (ms) 0.02355
p-value 1.00e-03
95% CI [0.02317, 0.02392]
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: 113.67
Df Residuals: 460 MAE: 92.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 553.8999 16.7132 0.001 522.0521 586.9206
opcount 0.0235 0.0002 0.001 0.0232 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 396
R² 0.9751
coef (ms) 0.009194
p-value 1.00e-03
95% CI [0.009035, 0.009344]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 396 RMSE: 41.53
Df Residuals: 394 MAE: 32.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.9759 6.3105 0.001 86.9017 111.4148
opcount 0.0092 0.0001 0.001 0.0090 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 583
R² 0.9437
coef (ms) 0.001433
p-value 1.00e-03
95% CI [0.001404, 0.00146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.944
Model: NNLS Adj. R-squared: 0.944
No. Observations: 583 RMSE: 9.90
Df Residuals: 581 MAE: 7.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8190 1.2738 0.001 29.4187 34.3196
opcount 0.0014 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 660
R² 0.2118
coef (ms) 0.142
p-value 1.00e-03
95% CI [0.1206, 0.1635]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.212
Model: NNLS Adj. R-squared: 0.211
No. Observations: 660 RMSE: 168.24
Df Residuals: 658 MAE: 160.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 259.8598 20.8855 0.001 218.9581 301.3907
opcount 0.1420 0.0105 0.001 0.1206 0.1635
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 341
R² 1.11e-16
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0.03397]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.003
No. Observations: 341 RMSE: 256.47
Df Residuals: 339 MAE: 170.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 587.0227 29.1095 0.001 494.3712 617.5031
opcount 0.0000 0.0097 1.000 0.0000 0.0340
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · ethrex
nobs 484
R² 0.4361
coef (ms) 0.01897
p-value 1.00e-03
95% CI [0.01703, 0.02084]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.436
Model: NNLS Adj. R-squared: 0.435
No. Observations: 484 RMSE: 13.25
Df Residuals: 482 MAE: 10.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 297.8314 1.9872 0.001 293.7395 301.6917
opcount 0.0190 0.0010 0.001 0.0170 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 462
R² 0.9158
coef (ms) 0.1347
p-value 1.00e-03
95% CI [0.1311, 0.1384]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.916
Model: NNLS Adj. R-squared: 0.916
No. Observations: 462 RMSE: 25.09
Df Residuals: 460 MAE: 16.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.0004 3.7084 0.001 70.6527 85.1369
opcount 0.1347 0.0019 0.001 0.1311 0.1384
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 396
R² 0.6523
coef (ms) 0.05547
p-value 1.00e-03
95% CI [0.05102, 0.05958]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.652
Model: NNLS Adj. R-squared: 0.651
No. Observations: 396 RMSE: 24.87
Df Residuals: 394 MAE: 19.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.7609 3.7041 0.001 86.0022 100.1292
opcount 0.0555 0.0022 0.001 0.0510 0.0596
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 583
R² 0.8967
coef (ms) 0.03907
p-value 1.00e-03
95% CI [0.038, 0.04006]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 583 RMSE: 8.14
Df Residuals: 581 MAE: 6.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.5467 1.0234 0.001 33.6550 37.6628
opcount 0.0391 0.0005 0.001 0.0380 0.0401
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 660
R² 0.9193
coef (ms) 0.06687
p-value 1.00e-03
95% CI [0.06533, 0.0685]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.919
No. Observations: 660 RMSE: 248.15
Df Residuals: 658 MAE: 189.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 984.3654 27.3598 0.001 929.6831 1035.5843
opcount 0.0669 0.0008 0.001 0.0653 0.0685
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 341
R² 0.9604
coef (ms) 0.1214
p-value 1.00e-03
95% CI [0.1188, 0.1241]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.960
No. Observations: 341 RMSE: 308.95
Df Residuals: 339 MAE: 183.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 514.9895 47.2391 0.001 415.2412 606.8284
opcount 0.1214 0.0014 0.001 0.1188 0.1241
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · ethrex
nobs 484
R² 0.9967
coef (ms) 0.02448
p-value 1.00e-03
95% CI [0.02435, 0.02461]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 484 RMSE: 17.65
Df Residuals: 482 MAE: 13.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 346.9011 2.4510 0.001 342.3586 351.9955
opcount 0.0245 0.0001 0.001 0.0244 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 462
R² 0.9863
coef (ms) 0.09316
p-value 1.00e-03
95% CI [0.09222, 0.09415]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 462 RMSE: 137.62
Df Residuals: 460 MAE: 113.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 704.8178 19.6466 0.001 666.6268 741.3100
opcount 0.0932 0.0005 0.001 0.0922 0.0942
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 396
R² 0.886
coef (ms) 0.03681
p-value 1.00e-03
95% CI [0.03556, 0.03816]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 396 RMSE: 165.37
Df Residuals: 394 MAE: 133.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 784.2187 26.7245 0.001 730.4819 835.4761
opcount 0.0368 0.0007 0.001 0.0356 0.0382
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 583
R² 0.9938
coef (ms) 0.02361
p-value 1.00e-03
95% CI [0.02347, 0.02376]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 583 RMSE: 23.40
Df Residuals: 581 MAE: 18.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 168.7130 2.9649 0.001 162.8363 174.6889
opcount 0.0236 0.0001 0.001 0.0235 0.0238
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 660
R² 0.8088
coef (ms) 0.01292
p-value 1.00e-03
95% CI [0.01246, 0.0134]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.808
No. Observations: 660 RMSE: 150.19
Df Residuals: 658 MAE: 127.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 585.4439 18.5364 0.001 549.0960 620.5453
opcount 0.0129 0.0002 0.001 0.0125 0.0134
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 341
R² 0.9664
coef (ms) 0.009517
p-value 1.00e-03
95% CI [0.009349, 0.009693]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 341 RMSE: 42.38
Df Residuals: 339 MAE: 33.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2874 6.0185 0.021 0.3355 23.5568
opcount 0.0095 0.0001 0.001 0.0093 0.0097
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · ethrex
nobs 484
R² 0.9937
coef (ms) 0.007218
p-value 1.00e-03
95% CI [0.007165, 0.007272]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 484 RMSE: 13.70
Df Residuals: 482 MAE: 10.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.9943 1.9476 0.001 39.3058 46.7778
opcount 0.0072 0.0000 0.001 0.0072 0.0073
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 462
R² 0.9151
coef (ms) 0.01068
p-value 1.00e-03
95% CI [0.01033, 0.011]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 462 RMSE: 77.76
Df Residuals: 460 MAE: 63.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 433.0284 15.0430 0.001 405.2547 464.1589
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 396
R² 0.8114
coef (ms) 0.004151
p-value 1.00e-03
95% CI [0.003947, 0.004341]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 396 RMSE: 47.82
Df Residuals: 394 MAE: 37.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.3454 6.8284 0.001 71.4284 98.3020
opcount 0.0042 0.0001 0.001 0.0039 0.0043
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 583
R² 0.9228
coef (ms) 0.001046
p-value 1.00e-03
95% CI [0.001021, 0.001073]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.923
No. Observations: 583 RMSE: 7.23
Df Residuals: 581 MAE: 5.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.2409 0.9596 0.001 43.2431 47.0808
opcount 0.0010 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 660
R² 0.7567
coef (ms) 0.01341
p-value 1.00e-03
95% CI [0.01283, 0.01398]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.756
No. Observations: 660 RMSE: 181.76
Df Residuals: 658 MAE: 139.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 426.4125 22.3810 0.001 382.9485 469.7940
opcount 0.0134 0.0003 0.001 0.0128 0.0140
==============================================================================
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 341
R² 0.9692
coef (ms) 0.008495
p-value 1.00e-03
95% CI [0.008368, 0.008554]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 341 RMSE: 36.32
Df Residuals: 339 MAE: 29.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.2099 1.000 0.0000 7.7923
opcount 0.0085 0.0000 0.001 0.0084 0.0086
==============================================================================
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 484
R² 0.9657
coef (ms) 0.002001
p-value 1.00e-03
95% CI [0.001966, 0.002033]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 484 RMSE: 9.02
Df Residuals: 482 MAE: 7.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.9683 1.3990 0.001 24.3723 29.9375
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 462
R² 0.8589
coef (ms) 0.02158
p-value 1.00e-03
95% CI [0.02075, 0.02246]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 462 RMSE: 209.06
Df Residuals: 460 MAE: 177.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 731.4071 37.4242 0.001 657.0661 802.9617
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 396
R² 0.7996
coef (ms) 0.003894
p-value 1.00e-03
95% CI [0.003697, 0.004082]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.799
No. Observations: 396 RMSE: 46.59
Df Residuals: 394 MAE: 35.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.5076 6.5021 0.001 63.1540 88.4600
opcount 0.0039 0.0001 0.001 0.0037 0.0041
==============================================================================
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 583
R² 0.88
coef (ms) 0.0007126
p-value 1.00e-03
95% CI [0.0006899, 0.0007364]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 583 RMSE: 6.29
Df Residuals: 581 MAE: 5.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.9908 0.8817 0.001 47.3125 50.6807
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 660
R² 0.8536
coef (ms) 0.02545
p-value 1.00e-03
95% CI [0.0247, 0.02616]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.853
No. Observations: 660 RMSE: 219.27
Df Residuals: 658 MAE: 180.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 568.4987 25.7731 0.001 521.5707 620.0569
opcount 0.0255 0.0004 0.001 0.0247 0.0262
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 341
R² 0.9315
coef (ms) 0.02446
p-value 1.00e-03
95% CI [0.02375, 0.02508]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.931
No. Observations: 341 RMSE: 138.02
Df Residuals: 339 MAE: 119.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 283.7864 24.2393 0.001 239.0518 335.1442
opcount 0.0245 0.0003 0.001 0.0237 0.0251
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 484
R² 0.9927
coef (ms) 0.007702
p-value 1.00e-03
95% CI [0.007645, 0.007751]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 484 RMSE: 13.77
Df Residuals: 482 MAE: 10.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.7046 1.7742 0.001 38.5119 45.2305
opcount 0.0077 0.0000 0.001 0.0076 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 462
R² 0.8606
coef (ms) 0.02306
p-value 1.00e-03
95% CI [0.02216, 0.02398]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 462 RMSE: 193.09
Df Residuals: 460 MAE: 163.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 686.3058 35.1662 0.001 617.8139 754.9654
opcount 0.0231 0.0005 0.001 0.0222 0.0240
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 396
R² 0.5363
coef (ms) 0.01305
p-value 1.00e-03
95% CI [0.01195, 0.01421]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.536
Model: NNLS Adj. R-squared: 0.535
No. Observations: 396 RMSE: 252.48
Df Residuals: 394 MAE: 184.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 183.8933 35.2754 0.001 114.0791 251.0942
opcount 0.0131 0.0006 0.001 0.0119 0.0142
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 583
R² 0.9731
coef (ms) 0.003987
p-value 1.00e-03
95% CI [0.003929, 0.004041]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 583 RMSE: 13.80
Df Residuals: 581 MAE: 10.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.9756 1.7653 0.001 97.6794 104.7833
opcount 0.0040 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 660
R² 0.7567
coef (ms) 0.01341
p-value 1.00e-03
95% CI [0.01283, 0.01398]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.756
No. Observations: 660 RMSE: 181.76
Df Residuals: 658 MAE: 139.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 426.4125 22.3810 0.001 382.9485 469.7940
opcount 0.0134 0.0003 0.001 0.0128 0.0140
==============================================================================
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 341
R² 0.9692
coef (ms) 0.008495
p-value 1.00e-03
95% CI [0.008368, 0.008554]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 341 RMSE: 36.32
Df Residuals: 339 MAE: 29.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.2099 1.000 0.0000 7.7923
opcount 0.0085 0.0000 0.001 0.0084 0.0086
==============================================================================
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 484
R² 0.9657
coef (ms) 0.002001
p-value 1.00e-03
95% CI [0.001966, 0.002033]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 484 RMSE: 9.02
Df Residuals: 482 MAE: 7.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.9683 1.3990 0.001 24.3723 29.9375
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 462
R² 0.8589
coef (ms) 0.02158
p-value 1.00e-03
95% CI [0.02075, 0.02246]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 462 RMSE: 209.06
Df Residuals: 460 MAE: 177.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 731.4071 37.4242 0.001 657.0661 802.9617
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 396
R² 0.7996
coef (ms) 0.003894
p-value 1.00e-03
95% CI [0.003697, 0.004082]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.799
No. Observations: 396 RMSE: 46.59
Df Residuals: 394 MAE: 35.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.5076 6.5021 0.001 63.1540 88.4600
opcount 0.0039 0.0001 0.001 0.0037 0.0041
==============================================================================
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 583
R² 0.88
coef (ms) 0.0007126
p-value 1.00e-03
95% CI [0.0006899, 0.0007364]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 583 RMSE: 6.29
Df Residuals: 581 MAE: 5.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.9908 0.8817 0.001 47.3125 50.6807
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 660
R² 0.1201
coef (ms) 0.0001673
p-value 1.00e-03
95% CI [0.0001328, 0.000202]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.120
Model: NNLS Adj. R-squared: 0.119
No. Observations: 660 RMSE: 264.93
Df Residuals: 658 MAE: 211.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 335.4667 30.4308 0.001 275.6932 396.3711
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · erigon
nobs 341
R² 0.828
coef (ms) 5.446e-05
p-value 1.00e-03
95% CI [5.182e-05, 5.723e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.827
No. Observations: 341 RMSE: 14.52
Df Residuals: 339 MAE: 10.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.3608 2.1306 0.001 20.1484 28.6898
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 484
R² 0.2596
coef (ms) 1.314e-05
p-value 1.00e-03
95% CI [1.11e-05, 1.49e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.260
Model: NNLS Adj. R-squared: 0.258
No. Observations: 484 RMSE: 12.97
Df Residuals: 482 MAE: 8.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2527 2.0196 0.001 9.5761 17.5660
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 462
R² 0.7941
coef (ms) 2.969e-05
p-value 1.00e-03
95% CI [2.813e-05, 3.115e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 462 RMSE: 8.84
Df Residuals: 460 MAE: 6.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.8105 1.4000 0.001 16.1982 21.8439
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 396
R² 0.6934
coef (ms) 0.0001374
p-value 1.00e-03
95% CI [0.000128, 0.0001458]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.693
Model: NNLS Adj. R-squared: 0.693
No. Observations: 396 RMSE: 53.42
Df Residuals: 394 MAE: 41.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 126.4931 7.9984 0.001 110.8336 142.0501
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 583
R² 0.6275
coef (ms) 1.302e-05
p-value 1.00e-03
95% CI [1.222e-05, 1.379e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.628
Model: NNLS Adj. R-squared: 0.627
No. Observations: 583 RMSE: 5.87
Df Residuals: 581 MAE: 4.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.8090 0.7236 0.001 6.3735 9.2209
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 660
R² 0.8004
coef (ms) 0.01547
p-value 1.00e-03
95% CI [0.01487, 0.01608]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.800
No. Observations: 660 RMSE: 183.45
Df Residuals: 658 MAE: 153.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 708.9077 23.0193 0.001 664.0727 754.0339
opcount 0.0155 0.0003 0.001 0.0149 0.0161
==============================================================================
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 341
R² 0.969
coef (ms) 0.01078
p-value 1.00e-03
95% CI [0.01055, 0.011]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 341 RMSE: 45.77
Df Residuals: 339 MAE: 35.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.6085 7.5906 0.003 7.7712 37.3185
opcount 0.0108 0.0001 0.001 0.0106 0.0110
==============================================================================
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 484
R² 0.9934
coef (ms) 0.007268
p-value 1.00e-03
95% CI [0.007216, 0.007325]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 484 RMSE: 14.05
Df Residuals: 482 MAE: 10.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9819 2.0257 0.001 42.0407 49.8746
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 462
R² 0.9125
coef (ms) 0.01087
p-value 1.00e-03
95% CI [0.01052, 0.01121]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.912
No. Observations: 462 RMSE: 79.96
Df Residuals: 460 MAE: 65.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 434.0367 15.2328 0.001 404.8168 465.0131
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 396
R² 0.8127
coef (ms) 0.004583
p-value 1.00e-03
95% CI [0.004379, 0.004804]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.812
No. Observations: 396 RMSE: 52.25
Df Residuals: 394 MAE: 40.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.2654 7.1799 0.001 77.4820 106.0385
opcount 0.0046 0.0001 0.001 0.0044 0.0048
==============================================================================
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 583
R² 0.922
coef (ms) 0.001079
p-value 1.00e-03
95% CI [0.001051, 0.001106]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.922
Model: NNLS Adj. R-squared: 0.922
No. Observations: 583 RMSE: 7.45
Df Residuals: 581 MAE: 5.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.7232 1.0321 0.001 45.7203 49.7500
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 660
R² 0.7811
coef (ms) 0.01579
p-value 1.00e-03
95% CI [0.0152, 0.01639]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 660 RMSE: 198.41
Df Residuals: 658 MAE: 148.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 525.4473 22.9818 0.001 480.0578 569.2804
opcount 0.0158 0.0003 0.001 0.0152 0.0164
==============================================================================
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 341
R² 0.9709
coef (ms) 0.009687
p-value 1.00e-03
95% CI [0.009489, 0.009761]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 341 RMSE: 39.84
Df Residuals: 339 MAE: 32.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.0006 4.0465 0.402 0.0000 13.4013
opcount 0.0097 0.0001 0.001 0.0095 0.0098
==============================================================================
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 484
R² 0.9663
coef (ms) 0.002059
p-value 1.00e-03
95% CI [0.002028, 0.002092]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 484 RMSE: 9.13
Df Residuals: 482 MAE: 7.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.3951 1.2885 0.001 26.9226 31.7861
opcount 0.0021 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 462
R² 0.8628
coef (ms) 0.02203
p-value 1.00e-03
95% CI [0.02117, 0.02292]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.862
No. Observations: 462 RMSE: 208.60
Df Residuals: 460 MAE: 176.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 731.0112 38.5841 0.001 656.6423 805.8805
opcount 0.0220 0.0004 0.001 0.0212 0.0229
==============================================================================
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 396
R² 0.7869
coef (ms) 0.004302
p-value 1.00e-03
95% CI [0.004054, 0.00455]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.786
No. Observations: 396 RMSE: 53.17
Df Residuals: 394 MAE: 39.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.8421 8.2098 0.001 68.4407 101.6518
opcount 0.0043 0.0001 0.001 0.0041 0.0046
==============================================================================
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 583
R² 0.8785
coef (ms) 0.0007521
p-value 1.00e-03
95% CI [0.0007307, 0.0007771]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.878
No. Observations: 583 RMSE: 6.64
Df Residuals: 581 MAE: 5.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.4968 0.8890 0.001 49.7374 53.1726
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 660
R² 0.8518
coef (ms) 0.02773
p-value 1.00e-03
95% CI [0.02687, 0.02859]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.852
Model: NNLS Adj. R-squared: 0.852
No. Observations: 660 RMSE: 235.35
Df Residuals: 658 MAE: 193.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 633.6409 27.7958 0.001 579.9785 689.8191
opcount 0.0277 0.0004 0.001 0.0269 0.0286
==============================================================================
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 341
R² 0.3945
coef (ms) 0.02909
p-value 1.00e-03
95% CI [0.02538, 0.03323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.394
Model: NNLS Adj. R-squared: 0.393
No. Observations: 341 RMSE: 733.50
Df Residuals: 339 MAE: 472.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 364.8603 117.3919 0.001 120.8419 594.2426
opcount 0.0291 0.0020 0.001 0.0254 0.0332
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · ethrex
nobs 484
R² 0.9934
coef (ms) 0.00786
p-value 1.00e-03
95% CI [0.007807, 0.007913]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 484 RMSE: 13.00
Df Residuals: 482 MAE: 10.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.5208 1.7214 0.001 38.1555 44.8953
opcount 0.0079 0.0000 0.001 0.0078 0.0079
==============================================================================
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 462
R² 0.8624
coef (ms) 0.02356
p-value 1.00e-03
95% CI [0.02264, 0.02445]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.862
No. Observations: 462 RMSE: 191.53
Df Residuals: 460 MAE: 162.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 685.9749 33.6849 0.001 623.2561 750.7040
opcount 0.0236 0.0005 0.001 0.0226 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 396
R² 0.5992
coef (ms) 0.01494
p-value 1.00e-03
95% CI [0.01376, 0.01628]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.599
Model: NNLS Adj. R-squared: 0.598
No. Observations: 396 RMSE: 248.66
Df Residuals: 394 MAE: 182.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 183.2887 35.7672 0.001 106.4376 248.5227
opcount 0.0149 0.0006 0.001 0.0138 0.0163
==============================================================================
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 583
R² 0.9717
coef (ms) 0.004066
p-value 1.00e-03
95% CI [0.004004, 0.004123]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 583 RMSE: 14.11
Df Residuals: 581 MAE: 11.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.1607 1.8348 0.001 98.5737 105.9832
opcount 0.0041 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 660
R² 0.7811
coef (ms) 0.01579
p-value 1.00e-03
95% CI [0.0152, 0.01639]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 660 RMSE: 198.41
Df Residuals: 658 MAE: 148.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 525.4473 22.9818 0.001 480.0578 569.2804
opcount 0.0158 0.0003 0.001 0.0152 0.0164
==============================================================================
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 341
R² 0.9709
coef (ms) 0.009687
p-value 1.00e-03
95% CI [0.009489, 0.009761]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 341 RMSE: 39.84
Df Residuals: 339 MAE: 32.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.0006 4.0465 0.402 0.0000 13.4013
opcount 0.0097 0.0001 0.001 0.0095 0.0098
==============================================================================
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 484
R² 0.9663
coef (ms) 0.002059
p-value 1.00e-03
95% CI [0.002028, 0.002092]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 484 RMSE: 9.13
Df Residuals: 482 MAE: 7.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.3951 1.2885 0.001 26.9226 31.7861
opcount 0.0021 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 462
R² 0.8628
coef (ms) 0.02203
p-value 1.00e-03
95% CI [0.02117, 0.02292]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.862
No. Observations: 462 RMSE: 208.60
Df Residuals: 460 MAE: 176.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 731.0112 38.5841 0.001 656.6423 805.8805
opcount 0.0220 0.0004 0.001 0.0212 0.0229
==============================================================================
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 396
R² 0.7869
coef (ms) 0.004302
p-value 1.00e-03
95% CI [0.004054, 0.00455]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.786
No. Observations: 396 RMSE: 53.17
Df Residuals: 394 MAE: 39.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 84.8421 8.2098 0.001 68.4407 101.6518
opcount 0.0043 0.0001 0.001 0.0041 0.0046
==============================================================================
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 583
R² 0.8785
coef (ms) 0.0007521
p-value 1.00e-03
95% CI [0.0007307, 0.0007771]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.878
No. Observations: 583 RMSE: 6.64
Df Residuals: 581 MAE: 5.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.4968 0.8890 0.001 49.7374 53.1726
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 660
R² 0.8921
coef (ms) 0.07036
p-value 1.00e-03
95% CI [0.06841, 0.0724]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.892
No. Observations: 660 RMSE: 164.64
Df Residuals: 658 MAE: 132.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 372.1292 19.5895 0.001 333.4299 410.4589
opcount 0.0704 0.0010 0.001 0.0684 0.0724
==============================================================================
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 341
R² 0.9185
coef (ms) 0.06123
p-value 1.00e-03
95% CI [0.05918, 0.06339]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 341 RMSE: 122.79
Df Residuals: 339 MAE: 71.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 422.4539 18.3582 0.001 385.2653 456.9952
opcount 0.0612 0.0011 0.001 0.0592 0.0634
==============================================================================
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 484
R² 0.9837
coef (ms) 0.02212
p-value 1.00e-03
95% CI [0.02189, 0.02234]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 484 RMSE: 19.15
Df Residuals: 482 MAE: 15.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 154.9522 2.6509 0.001 149.7731 160.3154
opcount 0.0221 0.0001 0.001 0.0219 0.0223
==============================================================================
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 462
R² 0.9716
coef (ms) 0.05953
p-value 1.00e-03
95% CI [0.05865, 0.06037]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.971
No. Observations: 462 RMSE: 68.54
Df Residuals: 460 MAE: 57.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 185.0320 8.7471 0.001 168.5671 201.7903
opcount 0.0595 0.0004 0.001 0.0586 0.0604
==============================================================================
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 396
R² 0.7632
coef (ms) 0.02858
p-value 1.00e-03
95% CI [0.02703, 0.0301]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.763
No. Observations: 396 RMSE: 107.12
Df Residuals: 394 MAE: 83.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 206.0041 15.1554 0.001 178.2000 236.2146
opcount 0.0286 0.0008 0.001 0.0270 0.0301
==============================================================================
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 583
R² 0.9871
coef (ms) 0.02298
p-value 1.00e-03
95% CI [0.02277, 0.0232]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.987
Model: NNLS Adj. R-squared: 0.987
No. Observations: 583 RMSE: 17.68
Df Residuals: 581 MAE: 13.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 103.8795 2.2481 0.001 99.2585 108.2272
opcount 0.0230 0.0001 0.001 0.0228 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 660
R² 0.1341
coef (ms) 0.1598
p-value 1.00e-03
95% CI [0.1281, 0.1888]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.134
Model: NNLS Adj. R-squared: 0.133
No. Observations: 660 RMSE: 133.69
Df Residuals: 658 MAE: 127.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 172.9633 16.6264 0.001 142.1357 206.2403
opcount 0.1598 0.0158 0.001 0.1281 0.1888
==============================================================================
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 341
R² 0.8257
coef (ms) 0.1961
p-value 1.00e-03
95% CI [0.1864, 0.2068]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.825
No. Observations: 341 RMSE: 29.67
Df Residuals: 339 MAE: 22.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.7195 5.1220 0.001 82.9385 102.5232
opcount 0.1961 0.0051 0.001 0.1864 0.2068
==============================================================================
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 484
R² 0.09108
coef (ms) 0.01234
p-value 1.00e-03
95% CI [0.008728, 0.01612]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.091
Model: NNLS Adj. R-squared: 0.089
No. Observations: 484 RMSE: 12.83
Df Residuals: 482 MAE: 7.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.0782 2.1064 0.001 19.1806 27.1804
opcount 0.0123 0.0018 0.001 0.0087 0.0161
==============================================================================
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 462
R² 0.8865
coef (ms) 0.09919
p-value 1.00e-03
95% CI [0.09588, 0.1023]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 462 RMSE: 11.69
Df Residuals: 460 MAE: 9.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.9885 1.6641 0.001 51.8437 58.1914
opcount 0.0992 0.0016 0.001 0.0959 0.1023
==============================================================================
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 396
R² 0.7359
coef (ms) 0.04727
p-value 1.00e-03
95% CI [0.04469, 0.04986]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.736
Model: NNLS Adj. R-squared: 0.735
No. Observations: 396 RMSE: 9.32
Df Residuals: 394 MAE: 7.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.7603 1.3478 0.001 21.1364 26.3905
opcount 0.0473 0.0013 0.001 0.0447 0.0499
==============================================================================
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 583
R² 0.6456
coef (ms) 0.02516
p-value 1.00e-03
95% CI [0.02373, 0.02667]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.646
Model: NNLS Adj. R-squared: 0.645
No. Observations: 583 RMSE: 6.14
Df Residuals: 581 MAE: 3.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9991 0.8108 0.001 14.4400 17.5272
opcount 0.0252 0.0008 0.001 0.0237 0.0267
==============================================================================
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 660
R² 0.9183
coef (ms) 0.08844
p-value 1.00e-03
95% CI [0.08631, 0.0906]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 660 RMSE: 169.39
Df Residuals: 658 MAE: 132.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 593.9183 21.1670 0.001 553.1926 634.0210
opcount 0.0884 0.0011 0.001 0.0863 0.0906
==============================================================================
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 341
R² 0.5381
coef (ms) 0.1808
p-value 1.00e-03
95% CI [0.1636, 0.1997]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.538
Model: NNLS Adj. R-squared: 0.537
No. Observations: 341 RMSE: 1075.84
Df Residuals: 339 MAE: 644.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1373.0862 172.7218 0.001 1052.9020 1727.6580
opcount 0.1808 0.0093 0.001 0.1636 0.1997
==============================================================================
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 484
R² 0.9841
coef (ms) 0.02304
p-value 1.00e-03
95% CI [0.0228, 0.02329]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 484 RMSE: 18.80
Df Residuals: 482 MAE: 15.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 150.1894 2.7103 0.001 144.7923 155.6303
opcount 0.0230 0.0001 0.001 0.0228 0.0233
==============================================================================
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 462
R² 0.9772
coef (ms) 0.09795
p-value 1.00e-03
95% CI [0.0966, 0.09954]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 462 RMSE: 96.07
Df Residuals: 460 MAE: 80.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 322.8264 14.5267 0.001 293.0781 349.7608
opcount 0.0980 0.0007 0.001 0.0966 0.0995
==============================================================================
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 396
R² 0.8317
coef (ms) 0.04347
p-value 1.00e-03
95% CI [0.0416, 0.0452]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 396 RMSE: 125.60
Df Residuals: 394 MAE: 97.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.9286 16.7970 0.001 189.8274 254.4640
opcount 0.0435 0.0009 0.001 0.0416 0.0452
==============================================================================
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 583
R² 0.9845
coef (ms) 0.02775
p-value 1.00e-03
95% CI [0.02747, 0.02802]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 583 RMSE: 22.40
Df Residuals: 581 MAE: 17.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 123.8331 2.5489 0.001 119.2564 129.1513
opcount 0.0278 0.0001 0.001 0.0275 0.0280
==============================================================================
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 660
R² 0.1341
coef (ms) 0.1598
p-value 1.00e-03
95% CI [0.1281, 0.1888]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.134
Model: NNLS Adj. R-squared: 0.133
No. Observations: 660 RMSE: 133.69
Df Residuals: 658 MAE: 127.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 172.9633 16.6264 0.001 142.1357 206.2403
opcount 0.1598 0.0158 0.001 0.1281 0.1888
==============================================================================
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 341
R² 0.8257
coef (ms) 0.1961
p-value 1.00e-03
95% CI [0.1864, 0.2068]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.825
No. Observations: 341 RMSE: 29.67
Df Residuals: 339 MAE: 22.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.7195 5.1220 0.001 82.9385 102.5232
opcount 0.1961 0.0051 0.001 0.1864 0.2068
==============================================================================
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 484
R² 0.09108
coef (ms) 0.01234
p-value 1.00e-03
95% CI [0.008728, 0.01612]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.091
Model: NNLS Adj. R-squared: 0.089
No. Observations: 484 RMSE: 12.83
Df Residuals: 482 MAE: 7.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.0782 2.1064 0.001 19.1806 27.1804
opcount 0.0123 0.0018 0.001 0.0087 0.0161
==============================================================================
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 462
R² 0.8865
coef (ms) 0.09919
p-value 1.00e-03
95% CI [0.09588, 0.1023]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 462 RMSE: 11.69
Df Residuals: 460 MAE: 9.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.9885 1.6641 0.001 51.8437 58.1914
opcount 0.0992 0.0016 0.001 0.0959 0.1023
==============================================================================
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 396
R² 0.7359
coef (ms) 0.04727
p-value 1.00e-03
95% CI [0.04469, 0.04986]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.736
Model: NNLS Adj. R-squared: 0.735
No. Observations: 396 RMSE: 9.32
Df Residuals: 394 MAE: 7.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.7603 1.3478 0.001 21.1364 26.3905
opcount 0.0473 0.0013 0.001 0.0447 0.0499
==============================================================================
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 583
R² 0.6456
coef (ms) 0.02516
p-value 1.00e-03
95% CI [0.02373, 0.02667]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.646
Model: NNLS Adj. R-squared: 0.645
No. Observations: 583 RMSE: 6.14
Df Residuals: 581 MAE: 3.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9991 0.8108 0.001 14.4400 17.5272
opcount 0.0252 0.0008 0.001 0.0237 0.0267
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 660
R² 0.659
coef (ms) 0.0004848
p-value 1.00e-03
95% CI [0.0004589, 0.0005126]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.659
Model: NNLS Adj. R-squared: 0.659
No. Observations: 660 RMSE: 176.19
Df Residuals: 658 MAE: 139.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 595.6936 21.3791 0.001 553.2108 638.0243
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 341
R² 0.9181
coef (ms) 0.0004811
p-value 1.00e-03
95% CI [0.0004665, 0.000496]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 341 RMSE: 72.58
Df Residuals: 339 MAE: 57.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.4670 11.5880 0.001 28.8451 74.8804
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 484
R² 0.9421
coef (ms) 0.0001064
p-value 1.00e-03
95% CI [0.000104, 0.0001088]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 484 RMSE: 13.33
Df Residuals: 482 MAE: 10.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.5240 1.9871 0.001 30.6850 38.3196
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 462
R² 0.8675
coef (ms) 0.0001355
p-value 1.00e-03
95% CI [0.0001302, 0.0001404]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 462 RMSE: 26.74
Df Residuals: 460 MAE: 20.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5507 4.0514 0.001 41.8077 57.7514
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 396
R² 0.6525
coef (ms) 0.0003655
p-value 1.00e-03
95% CI [0.0003375, 0.0003934]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.652
Model: NNLS Adj. R-squared: 0.652
No. Observations: 396 RMSE: 134.78
Df Residuals: 394 MAE: 107.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.9598 20.9270 0.001 177.8729 261.1014
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 583
R² 0.9255
coef (ms) 5.829e-05
p-value 1.00e-03
95% CI [5.705e-05, 5.951e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.925
No. Observations: 583 RMSE: 8.36
Df Residuals: 581 MAE: 6.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.4967 1.0515 0.001 20.5663 24.6865
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 660
R² 0.7966
coef (ms) 0.01471
p-value 1.00e-03
95% CI [0.01417, 0.01525]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.796
No. Observations: 660 RMSE: 176.51
Df Residuals: 658 MAE: 150.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 665.5026 21.8584 0.001 624.5400 706.6972
opcount 0.0147 0.0003 0.001 0.0142 0.0152
==============================================================================
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 341
R² 0.9705
coef (ms) 0.009721
p-value 1.00e-03
95% CI [0.009547, 0.009911]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.970
No. Observations: 341 RMSE: 40.23
Df Residuals: 339 MAE: 31.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.1600 6.0974 0.001 14.9854 38.5489
opcount 0.0097 0.0001 0.001 0.0095 0.0099
==============================================================================
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 484
R² 0.9937
coef (ms) 0.007262
p-value 1.00e-03
95% CI [0.007212, 0.007311]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 484 RMSE: 13.70
Df Residuals: 482 MAE: 10.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9455 1.8914 0.001 42.3613 49.6453
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 462
R² 0.918
coef (ms) 0.0111
p-value 1.00e-03
95% CI [0.01075, 0.01143]
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: 78.77
Df Residuals: 460 MAE: 64.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 427.7854 15.2261 0.001 399.5170 458.8766
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 396
R² 0.7814
coef (ms) 0.004329
p-value 1.00e-03
95% CI [0.004098, 0.004567]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 396 RMSE: 54.37
Df Residuals: 394 MAE: 40.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.6235 8.0955 0.001 71.0445 102.3210
opcount 0.0043 0.0001 0.001 0.0041 0.0046
==============================================================================
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 583
R² 0.9258
coef (ms) 0.001074
p-value 1.00e-03
95% CI [0.00105, 0.001098]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.926
No. Observations: 583 RMSE: 7.22
Df Residuals: 581 MAE: 5.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.2911 0.9717 0.001 45.4536 49.1348
opcount 0.0011 0.0000 0.001 0.0010 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 660
R² 0.7975
coef (ms) 0.01481
p-value 1.00e-03
95% CI [0.01428, 0.01538]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.797
No. Observations: 660 RMSE: 177.27
Df Residuals: 658 MAE: 131.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 500.2215 20.8905 0.001 458.1856 541.4052
opcount 0.0148 0.0003 0.001 0.0143 0.0154
==============================================================================
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 341
R² 0.9668
coef (ms) 0.008996
p-value 1.00e-03
95% CI [0.008811, 0.009142]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 341 RMSE: 39.60
Df Residuals: 339 MAE: 32.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.3888 5.7831 0.058 0.0000 21.4686
opcount 0.0090 0.0001 0.001 0.0088 0.0091
==============================================================================
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 484
R² 0.9674
coef (ms) 0.002039
p-value 1.00e-03
95% CI [0.002006, 0.002072]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 484 RMSE: 8.88
Df Residuals: 482 MAE: 7.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.0313 1.3178 0.001 27.4770 32.5996
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 462
R² 0.8676
coef (ms) 0.02257
p-value 1.00e-03
95% CI [0.02167, 0.02345]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 462 RMSE: 209.44
Df Residuals: 460 MAE: 176.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 728.0400 38.2702 0.001 652.2314 803.2448
opcount 0.0226 0.0004 0.001 0.0217 0.0235
==============================================================================
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 396
R² 0.811
coef (ms) 0.004187
p-value 1.00e-03
95% CI [0.003989, 0.00439]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 396 RMSE: 47.99
Df Residuals: 394 MAE: 36.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.3240 7.0941 0.001 57.1671 84.8948
opcount 0.0042 0.0001 0.001 0.0040 0.0044
==============================================================================
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 583
R² 0.8725
coef (ms) 0.0007478
p-value 1.00e-03
95% CI [0.0007245, 0.0007715]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.872
No. Observations: 583 RMSE: 6.79
Df Residuals: 581 MAE: 5.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.8645 0.9273 0.001 49.1090 52.6770
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 660
R² 0.8534
coef (ms) 0.02753
p-value 1.00e-03
95% CI [0.02671, 0.02837]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.853
No. Observations: 660 RMSE: 232.18
Df Residuals: 658 MAE: 192.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 604.8327 26.8956 0.001 552.3910 657.1462
opcount 0.0275 0.0004 0.001 0.0267 0.0284
==============================================================================
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 341
R² 0.3672
coef (ms) 0.02803
p-value 1.00e-03
95% CI [0.02394, 0.03214]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.367
Model: NNLS Adj. R-squared: 0.365
No. Observations: 341 RMSE: 748.66
Df Residuals: 339 MAE: 481.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 374.6145 120.5540 0.001 147.9571 619.9943
opcount 0.0280 0.0021 0.001 0.0239 0.0321
==============================================================================
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 484
R² 0.9938
coef (ms) 0.007869
p-value 1.00e-03
95% CI [0.007811, 0.007927]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 484 RMSE: 12.67
Df Residuals: 482 MAE: 10.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.0866 1.7996 0.001 36.5947 43.4329
opcount 0.0079 0.0000 0.001 0.0078 0.0079
==============================================================================
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 462
R² 0.8619
coef (ms) 0.0236
p-value 1.00e-03
95% CI [0.02263, 0.02452]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.862
No. Observations: 462 RMSE: 192.28
Df Residuals: 460 MAE: 162.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 682.7400 34.1414 0.001 616.8304 751.2796
opcount 0.0236 0.0005 0.001 0.0226 0.0245
==============================================================================
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 396
R² 0.6136
coef (ms) 0.01471
p-value 1.00e-03
95% CI [0.01346, 0.01601]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.614
Model: NNLS Adj. R-squared: 0.613
No. Observations: 396 RMSE: 237.58
Df Residuals: 394 MAE: 175.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 193.5433 37.5396 0.001 121.5252 264.6318
opcount 0.0147 0.0007 0.001 0.0135 0.0160
==============================================================================
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 583
R² 0.9766
coef (ms) 0.004044
p-value 1.00e-03
95% CI [0.003994, 0.004096]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 583 RMSE: 12.75
Df Residuals: 581 MAE: 10.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.5596 1.6015 0.001 98.3260 104.6002
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 660
R² 0.7975
coef (ms) 0.01481
p-value 1.00e-03
95% CI [0.01428, 0.01538]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.797
No. Observations: 660 RMSE: 177.27
Df Residuals: 658 MAE: 131.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 500.2215 20.8905 0.001 458.1856 541.4052
opcount 0.0148 0.0003 0.001 0.0143 0.0154
==============================================================================
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 341
R² 0.9668
coef (ms) 0.008996
p-value 1.00e-03
95% CI [0.008811, 0.009142]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 341 RMSE: 39.60
Df Residuals: 339 MAE: 32.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.3888 5.7831 0.058 0.0000 21.4686
opcount 0.0090 0.0001 0.001 0.0088 0.0091
==============================================================================
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 484
R² 0.9674
coef (ms) 0.002039
p-value 1.00e-03
95% CI [0.002006, 0.002072]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 484 RMSE: 8.88
Df Residuals: 482 MAE: 7.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.0313 1.3178 0.001 27.4770 32.5996
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 462
R² 0.8676
coef (ms) 0.02257
p-value 1.00e-03
95% CI [0.02167, 0.02345]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 462 RMSE: 209.44
Df Residuals: 460 MAE: 176.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 728.0400 38.2702 0.001 652.2314 803.2448
opcount 0.0226 0.0004 0.001 0.0217 0.0235
==============================================================================
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 396
R² 0.811
coef (ms) 0.004187
p-value 1.00e-03
95% CI [0.003989, 0.00439]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.811
No. Observations: 396 RMSE: 47.99
Df Residuals: 394 MAE: 36.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.3240 7.0941 0.001 57.1671 84.8948
opcount 0.0042 0.0001 0.001 0.0040 0.0044
==============================================================================
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 583
R² 0.8725
coef (ms) 0.0007478
p-value 1.00e-03
95% CI [0.0007245, 0.0007715]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.872
No. Observations: 583 RMSE: 6.79
Df Residuals: 581 MAE: 5.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.8645 0.9273 0.001 49.1090 52.6770
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 660
R² 0.8529
coef (ms) 0.02565
p-value 1.00e-03
95% CI [0.02481, 0.02647]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.853
No. Observations: 660 RMSE: 71.67
Df Residuals: 658 MAE: 56.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.4163 8.1872 0.001 76.1327 108.1260
opcount 0.0256 0.0004 0.001 0.0248 0.0265
==============================================================================
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 341
R² 0.9472
coef (ms) 0.007664
p-value 1.00e-03
95% CI [0.007471, 0.007853]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.947
No. Observations: 341 RMSE: 12.18
Df Residuals: 339 MAE: 8.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.9143 1.9235 0.001 25.1901 32.7504
opcount 0.0077 0.0001 0.001 0.0075 0.0079
==============================================================================
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 484
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: 484 RMSE: 53.74
Df Residuals: 482 MAE: 43.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 241.2073 2.5264 0.001 236.4935 246.4801
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 462
R² 0.8916
coef (ms) 0.0138
p-value 1.00e-03
95% CI [0.01329, 0.01425]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.891
No. Observations: 462 RMSE: 32.38
Df Residuals: 460 MAE: 26.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 139.7070 5.7568 0.001 129.1396 151.0316
opcount 0.0138 0.0003 0.001 0.0133 0.0142
==============================================================================
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 396
R² 0.6857
coef (ms) 0.004458
p-value 1.00e-03
95% CI [0.004141, 0.004769]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.686
Model: NNLS Adj. R-squared: 0.685
No. Observations: 396 RMSE: 20.31
Df Residuals: 394 MAE: 15.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.1767 3.2766 0.001 60.9238 73.8423
opcount 0.0045 0.0002 0.001 0.0041 0.0048
==============================================================================
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 583
R² 0.8033
coef (ms) 0.001575
p-value 1.00e-03
95% CI [0.001517, 0.001635]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.803
No. Observations: 583 RMSE: 5.25
Df Residuals: 581 MAE: 4.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.1739 0.5964 0.001 12.0044 14.3457
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 660
R² 0.1552
coef (ms) 0.005449
p-value 1.00e-03
95% CI [0.004488, 0.006392]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.155
Model: NNLS Adj. R-squared: 0.154
No. Observations: 660 RMSE: 85.56
Df Residuals: 658 MAE: 76.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 229.1145 10.8919 0.001 207.6857 249.7928
opcount 0.0054 0.0005 0.001 0.0045 0.0064
==============================================================================
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 341
R² 0.8042
coef (ms) 0.001623
p-value 1.00e-03
95% CI [0.001534, 0.001719]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 341 RMSE: 5.39
Df Residuals: 339 MAE: 4.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.9622 0.9495 0.001 40.1496 43.8552
opcount 0.0016 0.0000 0.001 0.0015 0.0017
==============================================================================
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 484
R² 0.01531
coef (ms) 0.0002758
p-value 1.00e-03
95% CI [5.622e-05, 0.0004687]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.015
Model: NNLS Adj. R-squared: 0.013
No. Observations: 484 RMSE: 14.89
Df Residuals: 482 MAE: 8.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.9417 2.4898 0.001 12.4818 22.1840
opcount 0.0003 0.0001 0.001 0.0001 0.0005
==============================================================================
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 462
R² 0.9577
coef (ms) 0.01042
p-value 1.00e-03
95% CI [0.0102, 0.01062]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 462 RMSE: 14.73
Df Residuals: 460 MAE: 12.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 334.4781 2.1707 0.001 330.3370 338.8037
opcount 0.0104 0.0001 0.001 0.0102 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 396
R² 0.5307
coef (ms) 0.001723
p-value 1.00e-03
95% CI [0.001555, 0.001878]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.531
Model: NNLS Adj. R-squared: 0.529
No. Observations: 396 RMSE: 10.91
Df Residuals: 394 MAE: 8.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.1930 1.6599 0.001 40.0646 46.6196
opcount 0.0017 0.0001 0.001 0.0016 0.0019
==============================================================================
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 583
R² 0.3262
coef (ms) 0.0003236
p-value 1.00e-03
95% CI [0.000283, 0.0003727]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.326
Model: NNLS Adj. R-squared: 0.325
No. Observations: 583 RMSE: 3.13
Df Residuals: 581 MAE: 2.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.9711 0.4395 0.001 10.0361 11.7900
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
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 660
R² 0.7172
coef (ms) 0.03138
p-value 1.00e-03
95% CI [0.02984, 0.03303]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.717
Model: NNLS Adj. R-squared: 0.717
No. Observations: 660 RMSE: 126.55
Df Residuals: 658 MAE: 95.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 222.6715 15.4928 0.001 190.9761 252.3714
opcount 0.0314 0.0008 0.001 0.0298 0.0330
==============================================================================
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 341
R² 0.2673
coef (ms) 0.02377
p-value 1.00e-03
95% CI [0.01951, 0.02783]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.267
Model: NNLS Adj. R-squared: 0.265
No. Observations: 341 RMSE: 252.80
Df Residuals: 339 MAE: 164.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 280.2283 40.4489 0.001 208.4878 362.4595
opcount 0.0238 0.0022 0.001 0.0195 0.0278
==============================================================================
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 484
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: 484 RMSE: 52.44
Df Residuals: 482 MAE: 41.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 246.4351 2.4066 0.001 241.9236 251.1840
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 462
R² 0.857
coef (ms) 0.02524
p-value 1.00e-03
95% CI [0.02421, 0.02619]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.857
No. Observations: 462 RMSE: 66.23
Df Residuals: 460 MAE: 53.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 259.0035 10.8361 0.001 238.7272 282.0636
opcount 0.0252 0.0005 0.001 0.0242 0.0262
==============================================================================
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 396
R² 0.5316
coef (ms) 0.01566
p-value 1.00e-03
95% CI [0.01433, 0.01712]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.532
Model: NNLS Adj. R-squared: 0.530
No. Observations: 396 RMSE: 94.43
Df Residuals: 394 MAE: 77.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 91.0654 12.2530 0.001 65.3666 114.5137
opcount 0.0157 0.0007 0.001 0.0143 0.0171
==============================================================================
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 583
R² 0.9512
coef (ms) 0.004967
p-value 1.00e-03
95% CI [0.004876, 0.005061]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.951
Model: NNLS Adj. R-squared: 0.951
No. Observations: 583 RMSE: 7.22
Df Residuals: 581 MAE: 5.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.4935 0.9838 0.001 34.5664 38.3627
opcount 0.0050 0.0000 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 660
R² 0.1552
coef (ms) 0.005449
p-value 1.00e-03
95% CI [0.004488, 0.006392]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.155
Model: NNLS Adj. R-squared: 0.154
No. Observations: 660 RMSE: 85.56
Df Residuals: 658 MAE: 76.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 229.1145 10.8919 0.001 207.6857 249.7928
opcount 0.0054 0.0005 0.001 0.0045 0.0064
==============================================================================
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 341
R² 0.8042
coef (ms) 0.001623
p-value 1.00e-03
95% CI [0.001534, 0.001719]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.804
Model: NNLS Adj. R-squared: 0.804
No. Observations: 341 RMSE: 5.39
Df Residuals: 339 MAE: 4.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.9622 0.9495 0.001 40.1496 43.8552
opcount 0.0016 0.0000 0.001 0.0015 0.0017
==============================================================================
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 484
R² 0.01531
coef (ms) 0.0002758
p-value 1.00e-03
95% CI [5.622e-05, 0.0004687]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.015
Model: NNLS Adj. R-squared: 0.013
No. Observations: 484 RMSE: 14.89
Df Residuals: 482 MAE: 8.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.9417 2.4898 0.001 12.4818 22.1840
opcount 0.0003 0.0001 0.001 0.0001 0.0005
==============================================================================
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 462
R² 0.9577
coef (ms) 0.01042
p-value 1.00e-03
95% CI [0.0102, 0.01062]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 462 RMSE: 14.73
Df Residuals: 460 MAE: 12.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 334.4781 2.1707 0.001 330.3370 338.8037
opcount 0.0104 0.0001 0.001 0.0102 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 396
R² 0.5307
coef (ms) 0.001723
p-value 1.00e-03
95% CI [0.001555, 0.001878]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.531
Model: NNLS Adj. R-squared: 0.529
No. Observations: 396 RMSE: 10.91
Df Residuals: 394 MAE: 8.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.1930 1.6599 0.001 40.0646 46.6196
opcount 0.0017 0.0001 0.001 0.0016 0.0019
==============================================================================
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 583
R² 0.3262
coef (ms) 0.0003236
p-value 1.00e-03
95% CI [0.000283, 0.0003727]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.326
Model: NNLS Adj. R-squared: 0.325
No. Observations: 583 RMSE: 3.13
Df Residuals: 581 MAE: 2.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.9711 0.4395 0.001 10.0361 11.7900
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · besu
nobs 660
R² 0.3721
coef (ms) 0.0005803
p-value 1.00e-03
95% CI [0.0005209, 0.0006355]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.372
Model: NNLS Adj. R-squared: 0.371
No. Observations: 660 RMSE: 380.85
Df Residuals: 658 MAE: 314.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 737.4912 44.2242 0.001 654.6247 825.1993
opcount 0.0006 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 341
R² 0.7992
coef (ms) 0.0002745
p-value 1.00e-03
95% CI [0.0002602, 0.0002932]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.799
Model: NNLS Adj. R-squared: 0.799
No. Observations: 341 RMSE: 69.53
Df Residuals: 339 MAE: 38.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.1806 11.5142 0.008 5.6110 51.1515
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 484
R² 0.9385
coef (ms) 0.0001056
p-value 1.00e-03
95% CI [0.0001031, 0.0001079]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 484 RMSE: 13.66
Df Residuals: 482 MAE: 10.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.4016 1.9623 0.001 30.6047 38.6364
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 462
R² 0.9026
coef (ms) 0.0001887
p-value 1.00e-03
95% CI [0.0001832, 0.0001945]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 462 RMSE: 31.33
Df Residuals: 460 MAE: 23.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.8621 4.3006 0.001 39.3353 56.2187
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 396
R² 0.7481
coef (ms) 0.0002332
p-value 1.00e-03
95% CI [0.0002195, 0.0002469]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.748
Model: NNLS Adj. R-squared: 0.747
No. Observations: 396 RMSE: 68.36
Df Residuals: 394 MAE: 52.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 166.6754 10.6472 0.001 146.5942 187.2622
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 583
R² 0.9138
coef (ms) 5.562e-05
p-value 1.00e-03
95% CI [5.43e-05, 5.699e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 583 RMSE: 8.63
Df Residuals: 581 MAE: 6.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.5591 1.1916 0.001 22.3066 26.8210
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 660
R² 0.7853
coef (ms) 0.01448
p-value 1.00e-03
95% CI [0.01394, 0.01505]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.785
Model: NNLS Adj. R-squared: 0.785
No. Observations: 660 RMSE: 179.96
Df Residuals: 658 MAE: 152.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 667.9758 22.0329 0.001 624.6984 709.4373
opcount 0.0145 0.0003 0.001 0.0139 0.0151
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 341
R² 0.9691
coef (ms) 0.009769
p-value 1.00e-03
95% CI [0.009583, 0.009939]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 341 RMSE: 41.46
Df Residuals: 339 MAE: 33.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2206 6.2305 0.001 16.0172 40.0393
opcount 0.0098 0.0001 0.001 0.0096 0.0099
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · ethrex
nobs 484
R² 0.9924
coef (ms) 0.007248
p-value 1.00e-03
95% CI [0.007193, 0.007296]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 484 RMSE: 15.06
Df Residuals: 482 MAE: 11.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.2037 2.0178 0.001 43.7296 51.4160
opcount 0.0072 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 462
R² 0.915
coef (ms) 0.01103
p-value 1.00e-03
95% CI [0.01069, 0.01137]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 462 RMSE: 79.97
Df Residuals: 460 MAE: 65.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 426.6166 15.2162 0.001 397.5212 457.2375
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 396
R² 0.7672
coef (ms) 0.004454
p-value 1.00e-03
95% CI [0.004215, 0.004685]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.767
Model: NNLS Adj. R-squared: 0.767
No. Observations: 396 RMSE: 58.33
Df Residuals: 394 MAE: 42.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.0624 8.0747 0.001 78.9116 111.4543
opcount 0.0045 0.0001 0.001 0.0042 0.0047
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 583
R² 0.926
coef (ms) 0.00108
p-value 1.00e-03
95% CI [0.001055, 0.001105]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.926
No. Observations: 583 RMSE: 7.26
Df Residuals: 581 MAE: 5.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.2960 0.9619 0.001 44.4301 48.2059
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 660
R² 0.7998
coef (ms) 0.01489
p-value 1.00e-03
95% CI [0.01435, 0.01541]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.799
No. Observations: 660 RMSE: 177.08
Df Residuals: 658 MAE: 130.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 477.6277 21.1706 0.001 435.3268 519.2848
opcount 0.0149 0.0003 0.001 0.0143 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 341
R² 0.9667
coef (ms) 0.008995
p-value 1.00e-03
95% CI [0.008804, 0.009134]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 341 RMSE: 39.70
Df Residuals: 339 MAE: 32.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.8828 5.4913 0.138 0.0000 18.6110
opcount 0.0090 0.0001 0.001 0.0088 0.0091
==============================================================================
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 484
R² 0.9669
coef (ms) 0.00204
p-value 1.00e-03
95% CI [0.002008, 0.002071]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 484 RMSE: 8.97
Df Residuals: 482 MAE: 7.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.2551 1.2195 0.001 26.7912 31.8446
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 462
R² 0.8678
coef (ms) 0.02238
p-value 1.00e-03
95% CI [0.02158, 0.0232]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 462 RMSE: 207.69
Df Residuals: 460 MAE: 176.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 724.1341 37.2729 0.001 653.1253 791.9581
opcount 0.0224 0.0004 0.001 0.0216 0.0232
==============================================================================
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 396
R² 0.7739
coef (ms) 0.004428
p-value 1.00e-03
95% CI [0.004192, 0.00466]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.773
No. Observations: 396 RMSE: 56.90
Df Residuals: 394 MAE: 43.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.6989 8.0792 0.001 58.1654 89.6990
opcount 0.0044 0.0001 0.001 0.0042 0.0047
==============================================================================
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 583
R² 0.8666
coef (ms) 0.0007561
p-value 1.00e-03
95% CI [0.0007336, 0.0007788]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 583 RMSE: 7.05
Df Residuals: 581 MAE: 5.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.9994 0.8861 0.001 48.2783 51.6965
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 660
R² 0.8444
coef (ms) 0.02725
p-value 1.00e-03
95% CI [0.02636, 0.02805]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.844
No. Observations: 660 RMSE: 238.35
Df Residuals: 658 MAE: 197.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 616.9487 27.9341 0.001 563.0259 672.5873
opcount 0.0273 0.0004 0.001 0.0264 0.0281
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 341
R² 0.3726
coef (ms) 0.02809
p-value 1.00e-03
95% CI [0.02419, 0.03231]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.373
Model: NNLS Adj. R-squared: 0.371
No. Observations: 341 RMSE: 742.55
Df Residuals: 339 MAE: 476.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 370.1200 121.7554 0.001 122.8727 605.4367
opcount 0.0281 0.0021 0.001 0.0242 0.0323
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 484
R² 0.9922
coef (ms) 0.007906
p-value 1.00e-03
95% CI [0.007846, 0.007965]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 484 RMSE: 14.28
Df Residuals: 482 MAE: 11.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.0440 1.8367 0.001 35.2770 42.7160
opcount 0.0079 0.0000 0.001 0.0078 0.0080
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 462
R² 0.8613
coef (ms) 0.02353
p-value 1.00e-03
95% CI [0.02262, 0.02448]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 462 RMSE: 192.41
Df Residuals: 460 MAE: 162.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 681.3858 34.9856 0.001 612.1974 749.1925
opcount 0.0235 0.0005 0.001 0.0226 0.0245
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 396
R² 0.5929
coef (ms) 0.01364
p-value 1.00e-03
95% CI [0.01253, 0.01484]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.593
Model: NNLS Adj. R-squared: 0.592
No. Observations: 396 RMSE: 230.24
Df Residuals: 394 MAE: 165.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 246.1421 34.6918 0.001 180.0283 310.4867
opcount 0.0136 0.0006 0.001 0.0125 0.0148
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 583
R² 0.9694
coef (ms) 0.004075
p-value 1.00e-03
95% CI [0.004008, 0.00414]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 583 RMSE: 14.74
Df Residuals: 581 MAE: 11.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.9007 2.0694 0.001 95.5292 104.0817
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 660
R² 0.7998
coef (ms) 0.01489
p-value 1.00e-03
95% CI [0.01435, 0.01541]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.799
No. Observations: 660 RMSE: 177.08
Df Residuals: 658 MAE: 130.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 477.6277 21.1706 0.001 435.3268 519.2848
opcount 0.0149 0.0003 0.001 0.0143 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 341
R² 0.9667
coef (ms) 0.008995
p-value 1.00e-03
95% CI [0.008804, 0.009134]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 341 RMSE: 39.70
Df Residuals: 339 MAE: 32.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.8828 5.4913 0.138 0.0000 18.6110
opcount 0.0090 0.0001 0.001 0.0088 0.0091
==============================================================================
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 484
R² 0.9669
coef (ms) 0.00204
p-value 1.00e-03
95% CI [0.002008, 0.002071]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 484 RMSE: 8.97
Df Residuals: 482 MAE: 7.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.2551 1.2195 0.001 26.7912 31.8446
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 462
R² 0.8678
coef (ms) 0.02238
p-value 1.00e-03
95% CI [0.02158, 0.0232]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 462 RMSE: 207.69
Df Residuals: 460 MAE: 176.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 724.1341 37.2729 0.001 653.1253 791.9581
opcount 0.0224 0.0004 0.001 0.0216 0.0232
==============================================================================
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 396
R² 0.7739
coef (ms) 0.004428
p-value 1.00e-03
95% CI [0.004192, 0.00466]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.773
No. Observations: 396 RMSE: 56.90
Df Residuals: 394 MAE: 43.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.6989 8.0792 0.001 58.1654 89.6990
opcount 0.0044 0.0001 0.001 0.0042 0.0047
==============================================================================
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 583
R² 0.8666
coef (ms) 0.0007561
p-value 1.00e-03
95% CI [0.0007336, 0.0007788]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 583 RMSE: 7.05
Df Residuals: 581 MAE: 5.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.9994 0.8861 0.001 48.2783 51.6965
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 660
R² 0.3813
coef (ms) 0.0005386
p-value 1.00e-03
95% CI [0.0004859, 0.000586]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.381
Model: NNLS Adj. R-squared: 0.380
No. Observations: 660 RMSE: 355.19
Df Residuals: 658 MAE: 293.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 699.1104 40.4607 0.001 622.4071 786.3566
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · erigon
nobs 341
R² 0.8977
coef (ms) 0.0002583
p-value 1.00e-03
95% CI [0.0002496, 0.0002676]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.897
No. Observations: 341 RMSE: 45.15
Df Residuals: 339 MAE: 34.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.5123 7.1460 0.001 36.3256 64.8499
opcount 0.0003 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · ethrex
nobs 484
R² 0.9416
coef (ms) 0.0001025
p-value 1.00e-03
95% CI [0.0001003, 0.0001048]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.941
No. Observations: 484 RMSE: 13.22
Df Residuals: 482 MAE: 10.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.8912 1.9737 0.001 28.9182 36.7692
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 462
R² 0.9015
coef (ms) 0.0001633
p-value 1.00e-03
95% CI [0.0001578, 0.0001685]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.902
Model: NNLS Adj. R-squared: 0.901
No. Observations: 462 RMSE: 27.93
Df Residuals: 460 MAE: 21.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.8872 4.0399 0.001 26.9666 42.8914
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 396
R² 0.606
coef (ms) 0.0003804
p-value 1.00e-03
95% CI [0.000347, 0.0004114]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.606
Model: NNLS Adj. R-squared: 0.605
No. Observations: 396 RMSE: 158.79
Df Residuals: 394 MAE: 129.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 226.1332 23.9521 0.001 180.4976 274.8754
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 583
R² 0.9246
coef (ms) 5.5e-05
p-value 1.00e-03
95% CI [5.363e-05, 5.645e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.924
No. Observations: 583 RMSE: 8.13
Df Residuals: 581 MAE: 6.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.0897 1.1697 0.001 18.7046 23.3637
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 660
R² 0.1734
coef (ms) 0.0004259
p-value 1.00e-03
95% CI [0.000353, 0.000493]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.173
Model: NNLS Adj. R-squared: 0.172
No. Observations: 660 RMSE: 238.76
Df Residuals: 658 MAE: 173.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 318.2692 27.8669 0.001 267.2567 375.6054
opcount 0.0004 0.0000 0.001 0.0004 0.0005
==============================================================================
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 341
R² 0.865
coef (ms) 7.564e-05
p-value 1.00e-03
95% CI [7.214e-05, 7.901e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 341 RMSE: 7.67
Df Residuals: 339 MAE: 5.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.7592 1.3284 0.001 23.1948 28.4657
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 484
R² 0.3043
coef (ms) 3.209e-05
p-value 1.00e-03
95% CI [2.79e-05, 3.616e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.304
Model: NNLS Adj. R-squared: 0.303
No. Observations: 484 RMSE: 12.46
Df Residuals: 482 MAE: 8.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0773 2.0462 0.001 12.1061 20.0822
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 462
R² 0.9388
coef (ms) 0.000357
p-value 1.00e-03
95% CI [0.0003482, 0.0003652]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 462 RMSE: 23.40
Df Residuals: 460 MAE: 17.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.9837 3.1970 0.001 16.0875 28.3468
opcount 0.0004 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 396
R² 0.6807
coef (ms) 0.0003163
p-value 1.00e-03
95% CI [0.0002941, 0.0003393]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.681
Model: NNLS Adj. R-squared: 0.680
No. Observations: 396 RMSE: 55.62
Df Residuals: 394 MAE: 38.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 154.7030 8.8298 0.001 137.3700 171.2902
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 583
R² 0.51
coef (ms) 2.305e-05
p-value 1.00e-03
95% CI [2.109e-05, 2.489e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.510
Model: NNLS Adj. R-squared: 0.509
No. Observations: 583 RMSE: 5.80
Df Residuals: 581 MAE: 4.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.0030 0.8270 0.001 8.5343 11.7952
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 660
R² 0.3076
coef (ms) 0.001858
p-value 1.00e-03
95% CI [0.001647, 0.002058]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.308
Model: NNLS Adj. R-squared: 0.307
No. Observations: 660 RMSE: 275.39
Df Residuals: 658 MAE: 227.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 434.0759 32.3288 0.001 374.4158 499.4381
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 341
R² 0.8882
coef (ms) 0.0003257
p-value 1.00e-03
95% CI [0.0003127, 0.0003384]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.888
No. Observations: 341 RMSE: 11.41
Df Residuals: 339 MAE: 9.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.6004 2.1763 0.001 37.4505 46.0288
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 484
R² 0.7997
coef (ms) 0.0002188
p-value 1.00e-03
95% CI [0.0002076, 0.0002299]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.799
No. Observations: 484 RMSE: 10.82
Df Residuals: 482 MAE: 8.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.1042 1.7338 0.001 14.6917 21.6383
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 462
R² 0.8884
coef (ms) 0.0007585
p-value 1.00e-03
95% CI [0.0007333, 0.000783]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.888
No. Observations: 462 RMSE: 26.55
Df Residuals: 460 MAE: 19.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.0965 3.7953 0.001 42.0272 56.5037
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 396
R² 0.7942
coef (ms) 0.001309
p-value 1.00e-03
95% CI [0.001242, 0.001374]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.794
No. Observations: 396 RMSE: 65.83
Df Residuals: 394 MAE: 51.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 210.8585 10.6582 0.001 190.6285 232.0938
opcount 0.0013 0.0000 0.001 0.0012 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 583
R² 0.6535
coef (ms) 0.0001051
p-value 1.00e-03
95% CI [9.846e-05, 0.0001109]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.654
Model: NNLS Adj. R-squared: 0.653
No. Observations: 583 RMSE: 7.56
Df Residuals: 581 MAE: 5.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.7612 1.0510 0.001 13.8048 17.9122
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 660
R² 0.1734
coef (ms) 0.0004259
p-value 1.00e-03
95% CI [0.000353, 0.000493]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.173
Model: NNLS Adj. R-squared: 0.172
No. Observations: 660 RMSE: 238.76
Df Residuals: 658 MAE: 173.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 318.2692 27.8669 0.001 267.2567 375.6054
opcount 0.0004 0.0000 0.001 0.0004 0.0005
==============================================================================
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 341
R² 0.865
coef (ms) 7.564e-05
p-value 1.00e-03
95% CI [7.214e-05, 7.901e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.865
No. Observations: 341 RMSE: 7.67
Df Residuals: 339 MAE: 5.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.7592 1.3284 0.001 23.1948 28.4657
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 484
R² 0.3043
coef (ms) 3.209e-05
p-value 1.00e-03
95% CI [2.79e-05, 3.616e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.304
Model: NNLS Adj. R-squared: 0.303
No. Observations: 484 RMSE: 12.46
Df Residuals: 482 MAE: 8.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.0773 2.0462 0.001 12.1061 20.0822
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 462
R² 0.9388
coef (ms) 0.000357
p-value 1.00e-03
95% CI [0.0003482, 0.0003652]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 462 RMSE: 23.40
Df Residuals: 460 MAE: 17.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.9837 3.1970 0.001 16.0875 28.3468
opcount 0.0004 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 396
R² 0.6807
coef (ms) 0.0003163
p-value 1.00e-03
95% CI [0.0002941, 0.0003393]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.681
Model: NNLS Adj. R-squared: 0.680
No. Observations: 396 RMSE: 55.62
Df Residuals: 394 MAE: 38.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 154.7030 8.8298 0.001 137.3700 171.2902
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 583
R² 0.51
coef (ms) 2.305e-05
p-value 1.00e-03
95% CI [2.109e-05, 2.489e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.510
Model: NNLS Adj. R-squared: 0.509
No. Observations: 583 RMSE: 5.80
Df Residuals: 581 MAE: 4.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.0030 0.8270 0.001 8.5343 11.7952
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 660
R² 0.7489
coef (ms) 0.01313
p-value 1.00e-03
95% CI [0.01258, 0.01369]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.749
Model: NNLS Adj. R-squared: 0.748
No. Observations: 660 RMSE: 181.77
Df Residuals: 658 MAE: 138.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 446.2032 22.3388 0.001 402.9150 488.8028
opcount 0.0131 0.0003 0.001 0.0126 0.0137
==============================================================================
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 341
R² 0.969
coef (ms) 0.008176
p-value 1.00e-03
95% CI [0.008099, 0.00823]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 341 RMSE: 35.33
Df Residuals: 339 MAE: 28.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.9517 1.000 0.0000 3.2267
opcount 0.0082 0.0000 0.001 0.0081 0.0082
==============================================================================
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 484
R² 0.9647
coef (ms) 0.001996
p-value 1.00e-03
95% CI [0.001967, 0.002026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 484 RMSE: 9.12
Df Residuals: 482 MAE: 7.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2453 1.2477 0.001 24.9245 29.7421
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 462
R² 0.8642
coef (ms) 0.02174
p-value 1.00e-03
95% CI [0.0209, 0.02256]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.864
No. Observations: 462 RMSE: 205.94
Df Residuals: 460 MAE: 175.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 721.7058 35.9527 0.001 654.3563 792.2558
opcount 0.0217 0.0004 0.001 0.0209 0.0226
==============================================================================
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 396
R² 0.772
coef (ms) 0.003944
p-value 1.00e-03
95% CI [0.003711, 0.004181]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.771
No. Observations: 396 RMSE: 51.22
Df Residuals: 394 MAE: 37.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.1509 8.1533 0.001 62.9867 94.9573
opcount 0.0039 0.0001 0.001 0.0037 0.0042
==============================================================================
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 583
R² 0.8715
coef (ms) 0.0007143
p-value 1.00e-03
95% CI [0.0006919, 0.0007384]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.871
No. Observations: 583 RMSE: 6.55
Df Residuals: 581 MAE: 5.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5601 0.9081 0.001 47.7784 51.3522
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · besu
nobs 660
R² 0.8527
coef (ms) 0.02534
p-value 1.00e-03
95% CI [0.02459, 0.02609]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 660 RMSE: 219.17
Df Residuals: 658 MAE: 181.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 574.6624 25.6367 0.001 525.0120 624.5956
opcount 0.0253 0.0004 0.001 0.0246 0.0261
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 341
R² 0.9316
coef (ms) 0.02407
p-value 1.00e-03
95% CI [0.02341, 0.02466]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.931
No. Observations: 341 RMSE: 135.66
Df Residuals: 339 MAE: 115.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 284.3859 23.9561 0.001 242.6588 334.6582
opcount 0.0241 0.0003 0.001 0.0234 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · ethrex
nobs 484
R² 0.9935
coef (ms) 0.007776
p-value 1.00e-03
95% CI [0.007721, 0.007832]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 484 RMSE: 13.13
Df Residuals: 482 MAE: 10.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.3709 1.8441 0.001 35.5273 42.8611
opcount 0.0078 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 462
R² 0.8597
coef (ms) 0.02311
p-value 1.00e-03
95% CI [0.02222, 0.0241]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.859
No. Observations: 462 RMSE: 194.27
Df Residuals: 460 MAE: 164.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 688.4304 35.1692 0.001 619.2657 757.5640
opcount 0.0231 0.0005 0.001 0.0222 0.0241
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 396
R² 0.5452
coef (ms) 0.01369
p-value 1.00e-03
95% CI [0.01234, 0.01511]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.545
Model: NNLS Adj. R-squared: 0.544
No. Observations: 396 RMSE: 260.14
Df Residuals: 394 MAE: 190.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 166.3931 38.6848 0.001 87.5024 242.6258
opcount 0.0137 0.0007 0.001 0.0123 0.0151
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 583
R² 0.9752
coef (ms) 0.004038
p-value 1.00e-03
95% CI [0.003983, 0.004094]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 583 RMSE: 13.39
Df Residuals: 581 MAE: 10.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.2292 1.7444 0.001 95.6274 102.5450
opcount 0.0040 0.0000 0.001 0.0040 0.0041
==============================================================================
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 660
R² 0.7489
coef (ms) 0.01313
p-value 1.00e-03
95% CI [0.01258, 0.01369]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.749
Model: NNLS Adj. R-squared: 0.748
No. Observations: 660 RMSE: 181.77
Df Residuals: 658 MAE: 138.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 446.2032 22.3388 0.001 402.9150 488.8028
opcount 0.0131 0.0003 0.001 0.0126 0.0137
==============================================================================
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 341
R² 0.969
coef (ms) 0.008176
p-value 1.00e-03
95% CI [0.008099, 0.00823]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 341 RMSE: 35.33
Df Residuals: 339 MAE: 28.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.9517 1.000 0.0000 3.2267
opcount 0.0082 0.0000 0.001 0.0081 0.0082
==============================================================================
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 484
R² 0.9647
coef (ms) 0.001996
p-value 1.00e-03
95% CI [0.001967, 0.002026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 484 RMSE: 9.12
Df Residuals: 482 MAE: 7.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2453 1.2477 0.001 24.9245 29.7421
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 462
R² 0.8642
coef (ms) 0.02174
p-value 1.00e-03
95% CI [0.0209, 0.02256]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.864
No. Observations: 462 RMSE: 205.94
Df Residuals: 460 MAE: 175.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 721.7058 35.9527 0.001 654.3563 792.2558
opcount 0.0217 0.0004 0.001 0.0209 0.0226
==============================================================================
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 396
R² 0.772
coef (ms) 0.003944
p-value 1.00e-03
95% CI [0.003711, 0.004181]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.771
No. Observations: 396 RMSE: 51.22
Df Residuals: 394 MAE: 37.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.1509 8.1533 0.001 62.9867 94.9573
opcount 0.0039 0.0001 0.001 0.0037 0.0042
==============================================================================
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 583
R² 0.8715
coef (ms) 0.0007143
p-value 1.00e-03
95% CI [0.0006919, 0.0007384]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.871
No. Observations: 583 RMSE: 6.55
Df Residuals: 581 MAE: 5.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5601 0.9081 0.001 47.7784 51.3522
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · besu
nobs 660
R² 0.108
coef (ms) 0.0001603
p-value 1.00e-03
95% CI [0.0001275, 0.0001948]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.108
Model: NNLS Adj. R-squared: 0.107
No. Observations: 660 RMSE: 269.33
Df Residuals: 658 MAE: 215.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 350.9749 30.7732 0.001 291.3336 411.8881
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · erigon
nobs 341
R² 0.9141
coef (ms) 0.0002939
p-value 1.00e-03
95% CI [0.0002837, 0.0003044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 341 RMSE: 52.68
Df Residuals: 339 MAE: 37.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.2138 9.1482 0.001 13.1648 48.2850
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 484
R² 0.2645
coef (ms) 1.392e-05
p-value 1.00e-03
95% CI [1.184e-05, 1.592e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.265
Model: NNLS Adj. R-squared: 0.263
No. Observations: 484 RMSE: 13.57
Df Residuals: 482 MAE: 8.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.6916 2.1435 0.001 8.8277 17.1200
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 462
R² 0.8408
coef (ms) 4.079e-05
p-value 1.00e-03
95% CI [3.913e-05, 4.239e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.840
No. Observations: 462 RMSE: 10.38
Df Residuals: 460 MAE: 7.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6409 1.4901 0.001 17.7339 23.6021
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 396
R² 0.553
coef (ms) 0.0002326
p-value 1.00e-03
95% CI [0.0002123, 0.0002532]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.553
Model: NNLS Adj. R-squared: 0.552
No. Observations: 396 RMSE: 122.29
Df Residuals: 394 MAE: 99.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 190.2306 17.5368 0.001 157.2482 223.6357
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 583
R² 0.5515
coef (ms) 1.3e-05
p-value 1.00e-03
95% CI [1.208e-05, 1.395e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.551
Model: NNLS Adj. R-squared: 0.551
No. Observations: 583 RMSE: 6.86
Df Residuals: 581 MAE: 5.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4161 0.8532 0.001 9.6089 13.1092
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 660
R² 0.7576
coef (ms) 0.01325
p-value 1.00e-03
95% CI [0.0127, 0.01379]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.758
Model: NNLS Adj. R-squared: 0.757
No. Observations: 660 RMSE: 179.13
Df Residuals: 658 MAE: 136.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 436.6982 21.1387 0.001 397.6366 477.0265
opcount 0.0132 0.0003 0.001 0.0127 0.0138
==============================================================================
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 341
R² 0.9662
coef (ms) 0.008364
p-value 1.00e-03
95% CI [0.008225, 0.008431]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 341 RMSE: 37.54
Df Residuals: 339 MAE: 29.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.4473 1.000 0.0000 8.3580
opcount 0.0084 0.0000 0.001 0.0082 0.0084
==============================================================================
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 484
R² 0.9661
coef (ms) 0.001969
p-value 1.00e-03
95% CI [0.001938, 0.002001]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 484 RMSE: 8.81
Df Residuals: 482 MAE: 6.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.2994 1.2564 0.001 25.8658 30.8928
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 462
R² 0.8632
coef (ms) 0.02169
p-value 1.00e-03
95% CI [0.02083, 0.02253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.863
No. Observations: 462 RMSE: 206.34
Df Residuals: 460 MAE: 175.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 726.4206 37.4270 0.001 654.2380 799.9900
opcount 0.0217 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 396
R² 0.7976
coef (ms) 0.004065
p-value 1.00e-03
95% CI [0.003869, 0.00427]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.797
No. Observations: 396 RMSE: 48.94
Df Residuals: 394 MAE: 38.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.0710 7.1963 0.001 60.2403 88.3967
opcount 0.0041 0.0001 0.001 0.0039 0.0043
==============================================================================
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 583
R² 0.8694
coef (ms) 0.0006902
p-value 1.00e-03
95% CI [0.00067, 0.0007096]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 583 RMSE: 6.39
Df Residuals: 581 MAE: 5.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.8245 0.7718 0.001 49.3449 52.3933
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 660
R² 0.8515
coef (ms) 0.02552
p-value 1.00e-03
95% CI [0.02482, 0.02627]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 660 RMSE: 221.76
Df Residuals: 658 MAE: 182.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 566.2857 24.5874 0.001 517.8874 612.7745
opcount 0.0255 0.0004 0.001 0.0248 0.0263
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 341
R² 0.3684
coef (ms) 0.02771
p-value 1.00e-03
95% CI [0.02379, 0.03171]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.368
Model: NNLS Adj. R-squared: 0.367
No. Observations: 341 RMSE: 754.81
Df Residuals: 339 MAE: 485.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 371.0195 123.3488 0.001 144.3154 615.4127
opcount 0.0277 0.0020 0.001 0.0238 0.0317
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 484
R² 0.9931
coef (ms) 0.007751
p-value 1.00e-03
95% CI [0.007688, 0.007812]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 484 RMSE: 13.39
Df Residuals: 482 MAE: 10.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.3105 1.9490 0.001 37.6561 45.2288
opcount 0.0078 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 462
R² 0.8615
coef (ms) 0.02307
p-value 1.00e-03
95% CI [0.02212, 0.02396]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 462 RMSE: 192.52
Df Residuals: 460 MAE: 163.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 695.5898 33.9987 0.001 629.1495 765.8711
opcount 0.0231 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 396
R² 0.5646
coef (ms) 0.01368
p-value 1.00e-03
95% CI [0.01232, 0.01497]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.565
Model: NNLS Adj. R-squared: 0.564
No. Observations: 396 RMSE: 249.89
Df Residuals: 394 MAE: 181.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 149.1212 38.5238 0.001 70.9092 224.2222
opcount 0.0137 0.0007 0.001 0.0123 0.0150
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 583
R² 0.9728
coef (ms) 0.003971
p-value 1.00e-03
95% CI [0.003923, 0.004022]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 583 RMSE: 13.82
Df Residuals: 581 MAE: 10.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.5968 1.6369 0.001 99.4942 105.7019
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 660
R² 0.7576
coef (ms) 0.01325
p-value 1.00e-03
95% CI [0.0127, 0.01379]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.758
Model: NNLS Adj. R-squared: 0.757
No. Observations: 660 RMSE: 179.13
Df Residuals: 658 MAE: 136.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 436.6982 21.1387 0.001 397.6366 477.0265
opcount 0.0132 0.0003 0.001 0.0127 0.0138
==============================================================================
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 341
R² 0.9662
coef (ms) 0.008364
p-value 1.00e-03
95% CI [0.008225, 0.008431]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 341 RMSE: 37.54
Df Residuals: 339 MAE: 29.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.4473 1.000 0.0000 8.3580
opcount 0.0084 0.0000 0.001 0.0082 0.0084
==============================================================================
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 484
R² 0.9661
coef (ms) 0.001969
p-value 1.00e-03
95% CI [0.001938, 0.002001]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 484 RMSE: 8.81
Df Residuals: 482 MAE: 6.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.2994 1.2564 0.001 25.8658 30.8928
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 462
R² 0.8632
coef (ms) 0.02169
p-value 1.00e-03
95% CI [0.02083, 0.02253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.863
No. Observations: 462 RMSE: 206.34
Df Residuals: 460 MAE: 175.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 726.4206 37.4270 0.001 654.2380 799.9900
opcount 0.0217 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 396
R² 0.7976
coef (ms) 0.004065
p-value 1.00e-03
95% CI [0.003869, 0.00427]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.797
No. Observations: 396 RMSE: 48.94
Df Residuals: 394 MAE: 38.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.0710 7.1963 0.001 60.2403 88.3967
opcount 0.0041 0.0001 0.001 0.0039 0.0043
==============================================================================
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 583
R² 0.8694
coef (ms) 0.0006902
p-value 1.00e-03
95% CI [0.00067, 0.0007096]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 583 RMSE: 6.39
Df Residuals: 581 MAE: 5.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.8245 0.7718 0.001 49.3449 52.3933
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 660
R² 0.1159
coef (ms) 0.0001628
p-value 1.00e-03
95% CI [0.0001289, 0.0001967]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.116
Model: NNLS Adj. R-squared: 0.115
No. Observations: 660 RMSE: 263.02
Df Residuals: 658 MAE: 208.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 344.9782 31.1397 0.001 286.1276 406.4645
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 · erigon
nobs 341
R² 0.7797
coef (ms) 4.786e-05
p-value 1.00e-03
95% CI [4.518e-05, 5.065e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.779
No. Observations: 341 RMSE: 14.88
Df Residuals: 339 MAE: 11.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.8356 2.2806 0.001 22.2165 31.3773
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · ethrex
nobs 484
R² 0.2669
coef (ms) 1.451e-05
p-value 1.00e-03
95% CI [1.243e-05, 1.647e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.267
Model: NNLS Adj. R-squared: 0.265
No. Observations: 484 RMSE: 14.06
Df Residuals: 482 MAE: 9.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.2469 2.1596 0.001 9.4074 17.5344
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 462
R² 0.7698
coef (ms) 2.976e-05
p-value 1.00e-03
95% CI [2.826e-05, 3.122e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 462 RMSE: 9.51
Df Residuals: 460 MAE: 7.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.9841 1.3408 0.001 19.4000 24.6772
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 396
R² 0.786
coef (ms) 0.000182
p-value 1.00e-03
95% CI [0.0001718, 0.000193]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.785
No. Observations: 396 RMSE: 55.55
Df Residuals: 394 MAE: 42.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 124.2578 8.9515 0.001 106.0819 141.6176
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 · reth
nobs 583
R² 0.58
coef (ms) 8.623e-06
p-value 1.00e-03
95% CI [8.038e-06, 9.242e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.580
Model: NNLS Adj. R-squared: 0.579
No. Observations: 583 RMSE: 4.29
Df Residuals: 581 MAE: 3.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.3674 0.5370 0.001 6.2904 8.3569
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 660
R² 0.7895
coef (ms) 0.0152
p-value 1.00e-03
95% CI [0.0146, 0.01581]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.790
Model: NNLS Adj. R-squared: 0.789
No. Observations: 660 RMSE: 186.63
Df Residuals: 658 MAE: 155.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 709.6249 23.0531 0.001 662.5330 756.8329
opcount 0.0152 0.0003 0.001 0.0146 0.0158
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 341
R² 0.9622
coef (ms) 0.01003
p-value 1.00e-03
95% CI [0.009812, 0.0103]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 341 RMSE: 47.26
Df Residuals: 339 MAE: 34.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.3465 7.9398 0.005 5.0650 36.3286
opcount 0.0100 0.0001 0.001 0.0098 0.0103
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · ethrex
nobs 484
R² 0.9928
coef (ms) 0.007247
p-value 1.00e-03
95% CI [0.007188, 0.007304]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 484 RMSE: 14.67
Df Residuals: 482 MAE: 11.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.0179 2.1438 0.001 44.0935 52.2010
opcount 0.0072 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 462
R² 0.9158
coef (ms) 0.01108
p-value 1.00e-03
95% CI [0.01073, 0.01143]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.916
Model: NNLS Adj. R-squared: 0.916
No. Observations: 462 RMSE: 79.85
Df Residuals: 460 MAE: 65.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 427.8356 15.5355 0.001 397.9700 457.4718
opcount 0.0111 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 396
R² 0.8058
coef (ms) 0.00448
p-value 1.00e-03
95% CI [0.004248, 0.004697]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.805
No. Observations: 396 RMSE: 52.29
Df Residuals: 394 MAE: 40.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 91.8230 7.8769 0.001 77.4657 108.1227
opcount 0.0045 0.0001 0.001 0.0042 0.0047
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 583
R² 0.9268
coef (ms) 0.001096
p-value 1.00e-03
95% CI [0.001071, 0.00112]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 583 RMSE: 7.32
Df Residuals: 581 MAE: 5.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.8130 0.9258 0.001 44.9984 48.6787
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 660
R² 0.7843
coef (ms) 0.01565
p-value 1.00e-03
95% CI [0.01501, 0.01629]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.784
No. Observations: 660 RMSE: 195.13
Df Residuals: 658 MAE: 146.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 514.9493 23.7127 0.001 468.8517 564.5160
opcount 0.0157 0.0003 0.001 0.0150 0.0163
==============================================================================
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 341
R² 0.9623
coef (ms) 0.01097
p-value 1.00e-03
95% CI [0.01085, 0.01106]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 341 RMSE: 52.14
Df Residuals: 339 MAE: 40.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.0530 1.000 0.0000 7.0858
opcount 0.0110 0.0001 0.001 0.0108 0.0111
==============================================================================
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 484
R² 0.9653
coef (ms) 0.002024
p-value 1.00e-03
95% CI [0.001989, 0.002059]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 484 RMSE: 9.12
Df Residuals: 482 MAE: 7.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4604 1.3785 0.001 27.8753 33.2841
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 462
R² 0.8669
coef (ms) 0.02267
p-value 1.00e-03
95% CI [0.02173, 0.02357]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 462 RMSE: 211.19
Df Residuals: 460 MAE: 179.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 738.9066 38.0538 0.001 664.1390 813.9601
opcount 0.0227 0.0004 0.001 0.0217 0.0236
==============================================================================
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 396
R² 0.8051
coef (ms) 0.004353
p-value 1.00e-03
95% CI [0.00414, 0.004572]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 396 RMSE: 50.91
Df Residuals: 394 MAE: 38.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.9473 7.0167 0.001 63.6662 91.9194
opcount 0.0044 0.0001 0.001 0.0041 0.0046
==============================================================================
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 583
R² 0.8843
coef (ms) 0.0007669
p-value 1.00e-03
95% CI [0.0007436, 0.000791]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.884
No. Observations: 583 RMSE: 6.59
Df Residuals: 581 MAE: 5.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.6981 0.8985 0.001 48.9853 52.4909
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 660
R² 0.8517
coef (ms) 0.02771
p-value 1.00e-03
95% CI [0.02687, 0.02855]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.852
Model: NNLS Adj. R-squared: 0.851
No. Observations: 660 RMSE: 235.61
Df Residuals: 658 MAE: 192.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 621.4464 28.3638 0.001 565.3735 677.4831
opcount 0.0277 0.0004 0.001 0.0269 0.0286
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 341
R² 0.3707
coef (ms) 0.02799
p-value 1.00e-03
95% CI [0.0244, 0.03199]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.371
Model: NNLS Adj. R-squared: 0.369
No. Observations: 341 RMSE: 742.92
Df Residuals: 339 MAE: 478.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 380.0078 113.0030 0.001 152.7740 599.9774
opcount 0.0280 0.0019 0.001 0.0244 0.0320
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 484
R² 0.992
coef (ms) 0.007864
p-value 1.00e-03
95% CI [0.007807, 0.007921]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 484 RMSE: 14.39
Df Residuals: 482 MAE: 11.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.4099 1.9105 0.001 38.5854 46.1846
opcount 0.0079 0.0000 0.001 0.0078 0.0079
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 462
R² 0.8616
coef (ms) 0.02351
p-value 1.00e-03
95% CI [0.02263, 0.02442]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.861
No. Observations: 462 RMSE: 191.97
Df Residuals: 460 MAE: 162.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 685.7261 33.9055 0.001 618.9391 747.3236
opcount 0.0235 0.0005 0.001 0.0226 0.0244
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 396
R² 0.5791
coef (ms) 0.0147
p-value 1.00e-03
95% CI [0.01339, 0.01599]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.579
Model: NNLS Adj. R-squared: 0.578
No. Observations: 396 RMSE: 255.35
Df Residuals: 394 MAE: 193.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 203.7299 37.9567 0.001 132.2674 279.0828
opcount 0.0147 0.0007 0.001 0.0134 0.0160
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 583
R² 0.9719
coef (ms) 0.004124
p-value 1.00e-03
95% CI [0.004066, 0.004183]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 583 RMSE: 14.28
Df Residuals: 581 MAE: 11.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.1361 1.8568 0.001 94.5108 101.7969
opcount 0.0041 0.0000 0.001 0.0041 0.0042
==============================================================================
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 660
R² 0.7843
coef (ms) 0.01565
p-value 1.00e-03
95% CI [0.01501, 0.01629]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.784
No. Observations: 660 RMSE: 195.13
Df Residuals: 658 MAE: 146.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 514.9493 23.7127 0.001 468.8517 564.5160
opcount 0.0157 0.0003 0.001 0.0150 0.0163
==============================================================================
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 341
R² 0.9623
coef (ms) 0.01097
p-value 1.00e-03
95% CI [0.01085, 0.01106]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 341 RMSE: 52.14
Df Residuals: 339 MAE: 40.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.0530 1.000 0.0000 7.0858
opcount 0.0110 0.0001 0.001 0.0108 0.0111
==============================================================================
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 484
R² 0.9653
coef (ms) 0.002024
p-value 1.00e-03
95% CI [0.001989, 0.002059]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 484 RMSE: 9.12
Df Residuals: 482 MAE: 7.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.4604 1.3785 0.001 27.8753 33.2841
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 462
R² 0.8669
coef (ms) 0.02267
p-value 1.00e-03
95% CI [0.02173, 0.02357]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 462 RMSE: 211.19
Df Residuals: 460 MAE: 179.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 738.9066 38.0538 0.001 664.1390 813.9601
opcount 0.0227 0.0004 0.001 0.0217 0.0236
==============================================================================
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 396
R² 0.8051
coef (ms) 0.004353
p-value 1.00e-03
95% CI [0.00414, 0.004572]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 396 RMSE: 50.91
Df Residuals: 394 MAE: 38.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.9473 7.0167 0.001 63.6662 91.9194
opcount 0.0044 0.0001 0.001 0.0041 0.0046
==============================================================================
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 583
R² 0.8843
coef (ms) 0.0007669
p-value 1.00e-03
95% CI [0.0007436, 0.000791]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.884
No. Observations: 583 RMSE: 6.59
Df Residuals: 581 MAE: 5.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.6981 0.8985 0.001 48.9853 52.4909
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 660
R² 0.6241
coef (ms) 0.0004421
p-value 1.00e-03
95% CI [0.0004146, 0.0004691]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.624
Model: NNLS Adj. R-squared: 0.623
No. Observations: 660 RMSE: 177.65
Df Residuals: 658 MAE: 138.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 548.9535 21.1530 0.001 506.4338 591.1594
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 341
R² 0.8922
coef (ms) 0.0004498
p-value 1.00e-03
95% CI [0.0004334, 0.0004641]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.892
No. Observations: 341 RMSE: 80.95
Df Residuals: 339 MAE: 61.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.9589 12.2273 0.001 43.4773 93.0215
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 · ethrex
nobs 484
R² 0.9437
coef (ms) 0.0001013
p-value 1.00e-03
95% CI [9.921e-05, 0.0001036]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.944
Model: NNLS Adj. R-squared: 0.944
No. Observations: 484 RMSE: 12.81
Df Residuals: 482 MAE: 10.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.5473 1.8502 0.001 31.8342 38.9512
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 462
R² 0.8927
coef (ms) 0.000186
p-value 1.00e-03
95% CI [0.0001803, 0.0001925]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.893
Model: NNLS Adj. R-squared: 0.892
No. Observations: 462 RMSE: 33.39
Df Residuals: 460 MAE: 25.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.9180 4.7450 0.001 39.7608 59.3361
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 396
R² 0.6228
coef (ms) 0.0003546
p-value 1.00e-03
95% CI [0.000328, 0.0003824]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.623
Model: NNLS Adj. R-squared: 0.622
No. Observations: 396 RMSE: 142.85
Df Residuals: 394 MAE: 115.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 225.7714 20.6591 0.001 185.6859 266.2603
opcount 0.0004 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 583
R² 0.9142
coef (ms) 5.591e-05
p-value 1.00e-03
95% CI [5.447e-05, 5.722e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 583 RMSE: 8.87
Df Residuals: 581 MAE: 6.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.0011 1.2165 0.001 19.7418 24.4119
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================