Runtime model results
Per-spec NNLS fits of test runtime against opcode count — one block per (target opcode, test, model combo, client). Use the filters to narrow to a single opcode or client.
Plots omitted. This is an older archived run; only the 5 most recent runs retain the runtime plots. The per-fit stats and NNLS summaries below are unchanged.
SLOAD · test_sload_bloated · combo False · besu
nobs 341
R² 0.819
coef (ms) 0.009074
p-value 1.00e-03
95% CI [0.008614, 0.009572]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.818
No. Observations: 341 RMSE: 125.53
Df Residuals: 339 MAE: 111.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 166.8766 20.4664 0.001 125.0822 207.5829
opcount 0.0091 0.0002 0.001 0.0086 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · erigon
nobs 198
R² 0.9841
coef (ms) 0.005913
p-value 1.00e-03
95% CI [0.005857, 0.005951]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 198 RMSE: 22.31
Df Residuals: 196 MAE: 19.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.0513 1.000 0.0000 4.0291
opcount 0.0059 0.0000 0.001 0.0059 0.0060
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · ethrex
nobs 33
R² 0.9139
coef (ms) 0.008457
p-value 1.00e-03
95% CI [0.008094, 0.008771]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.911
No. Observations: 33 RMSE: 98.26
Df Residuals: 31 MAE: 81.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0085 0.0002 0.001 0.0081 0.0088
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · geth
nobs 407
R² 0.9844
coef (ms) 0.02493
p-value 1.00e-03
95% CI [0.02458, 0.02527]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 407 RMSE: 92.38
Df Residuals: 405 MAE: 82.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 604.1356 14.9410 0.001 575.0364 635.8476
opcount 0.0249 0.0002 0.001 0.0246 0.0253
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 352
R² 0.8709
coef (ms) 0.003185
p-value 1.00e-03
95% CI [0.003068, 0.003288]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 352 RMSE: 36.09
Df Residuals: 350 MAE: 22.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.8410 6.0230 0.001 77.7558 101.2756
opcount 0.0032 0.0001 0.001 0.0031 0.0033
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 374
R² 0.9768
coef (ms) 0.001263
p-value 1.00e-03
95% CI [0.001244, 0.001283]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 374 RMSE: 5.73
Df Residuals: 372 MAE: 4.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.0508 0.9401 0.001 37.2161 40.8300
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 341
R² 0.9688
coef (ms) 0.01614
p-value 1.00e-03
95% CI [0.01578, 0.01646]
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: 85.24
Df Residuals: 339 MAE: 67.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 449.0558 14.9654 0.001 421.4759 480.1339
opcount 0.0161 0.0002 0.001 0.0158 0.0165
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 198
R² 0.9814
coef (ms) 0.005298
p-value 1.00e-03
95% CI [0.005252, 0.005333]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 198 RMSE: 21.68
Df Residuals: 196 MAE: 17.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.9198 1.000 0.0000 3.0325
opcount 0.0053 0.0000 0.001 0.0053 0.0053
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · ethrex
nobs 33
R² 0.9756
coef (ms) 0.02434
p-value 1.00e-03
95% CI [0.02386, 0.02474]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.975
No. Observations: 33 RMSE: 127.56
Df Residuals: 31 MAE: 111.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0243 0.0002 0.001 0.0239 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · geth
nobs 407
R² 0.9839
coef (ms) 0.02432
p-value 1.00e-03
95% CI [0.02399, 0.02465]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 407 RMSE: 91.56
Df Residuals: 405 MAE: 81.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 591.6238 14.1393 0.001 563.5515 618.1423
opcount 0.0243 0.0002 0.001 0.0240 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 352
R² 0.788
coef (ms) 0.01676
p-value 1.00e-03
95% CI [0.01577, 0.01778]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.788
Model: NNLS Adj. R-squared: 0.787
No. Observations: 352 RMSE: 255.90
Df Residuals: 350 MAE: 218.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 704.6838 54.4254 0.001 599.1222 810.8792
opcount 0.0168 0.0005 0.001 0.0158 0.0178
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 374
R² 0.9829
coef (ms) 0.001505
p-value 1.00e-03
95% CI [0.001484, 0.001528]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 374 RMSE: 5.85
Df Residuals: 372 MAE: 4.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.5815 1.1166 0.001 32.2466 36.6885
opcount 0.0015 0.0000 0.001 0.0015 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · besu
nobs 682
R² 0.2551
coef (ms) 0.0001027
p-value 1.00e-03
95% CI [8.907e-05, 0.0001151]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.255
Model: NNLS Adj. R-squared: 0.254
No. Observations: 682 RMSE: 110.81
Df Residuals: 680 MAE: 88.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 203.3011 13.2881 0.001 177.5372 230.3766
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · erigon
nobs 396
R² 0.8823
coef (ms) 3.767e-05
p-value 1.00e-03
95% CI [3.663e-05, 3.879e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 396 RMSE: 8.69
Df Residuals: 394 MAE: 5.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.8492 1.0706 0.001 21.7449 25.8955
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 66
R² 0.8625
coef (ms) 2.576e-05
p-value 1.00e-03
95% CI [2.37e-05, 2.827e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.860
No. Observations: 66 RMSE: 6.50
Df Residuals: 64 MAE: 4.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4108 1.9338 0.001 7.3534 14.8430
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 814
R² 0.8897
coef (ms) 4.68e-05
p-value 1.00e-03
95% CI [4.571e-05, 4.796e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.890
Model: NNLS Adj. R-squared: 0.890
No. Observations: 814 RMSE: 10.41
Df Residuals: 812 MAE: 8.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.3442 1.0850 0.001 22.2843 26.4721
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 704
R² 0.7921
coef (ms) 0.0001455
p-value 1.00e-03
95% CI [0.0001402, 0.000151]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 704 RMSE: 47.08
Df Residuals: 702 MAE: 36.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.3602 5.3551 0.001 93.8637 114.9304
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · reth
nobs 748
R² 0.686
coef (ms) 6.771e-06
p-value 1.00e-03
95% CI [6.479e-06, 7.076e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.686
Model: NNLS Adj. R-squared: 0.686
No. Observations: 748 RMSE: 2.89
Df Residuals: 746 MAE: 1.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.6346 0.2986 0.001 5.0232 6.2037
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 341
R² 0.8149
coef (ms) 0.009714
p-value 1.00e-03
95% CI [0.009193, 0.01026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.814
No. Observations: 341 RMSE: 130.84
Df Residuals: 339 MAE: 103.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 565.0386 22.4158 0.001 523.0134 608.2794
opcount 0.0097 0.0003 0.001 0.0092 0.0103
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 198
R² 0.9841
coef (ms) 0.005878
p-value 1.00e-03
95% CI [0.005802, 0.005915]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 198 RMSE: 21.21
Df Residuals: 196 MAE: 18.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.4478 1.000 0.0000 4.9066
opcount 0.0059 0.0000 0.001 0.0058 0.0059
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · ethrex
nobs 33
R² 0.9112
coef (ms) 0.009126
p-value 1.00e-03
95% CI [0.008686, 0.009468]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.908
No. Observations: 33 RMSE: 101.03
Df Residuals: 31 MAE: 89.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0091 0.0002 0.001 0.0087 0.0095
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 407
R² 0.9828
coef (ms) 0.02439
p-value 1.00e-03
95% CI [0.02406, 0.02474]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 407 RMSE: 91.23
Df Residuals: 405 MAE: 77.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 614.0388 14.7880 0.001 586.5006 641.7872
opcount 0.0244 0.0002 0.001 0.0241 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 352
R² 0.9391
coef (ms) 0.003205
p-value 1.00e-03
95% CI [0.003116, 0.003289]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 352 RMSE: 23.07
Df Residuals: 350 MAE: 18.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.2837 4.0093 0.001 75.6344 91.2380
opcount 0.0032 0.0000 0.001 0.0031 0.0033
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 374
R² 0.9751
coef (ms) 0.001268
p-value 1.00e-03
95% CI [0.001247, 0.00129]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 374 RMSE: 5.72
Df Residuals: 372 MAE: 4.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.4211 0.9835 0.001 39.5493 43.2989
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 341
R² 0.9404
coef (ms) 0.01717
p-value 1.00e-03
95% CI [0.01672, 0.01763]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.940
No. Observations: 341 RMSE: 122.16
Df Residuals: 339 MAE: 99.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 704.0876 20.0002 0.001 665.2037 740.6361
opcount 0.0172 0.0002 0.001 0.0167 0.0176
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 198
R² 0.9764
coef (ms) 0.005295
p-value 1.00e-03
95% CI [0.005229, 0.005337]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 198 RMSE: 23.48
Df Residuals: 196 MAE: 19.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.4222 1.000 0.0000 4.4954
opcount 0.0053 0.0000 0.001 0.0052 0.0053
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · ethrex
nobs 33
R² 0.9909
coef (ms) 0.02482
p-value 1.00e-03
95% CI [0.02456, 0.02509]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 33 RMSE: 70.58
Df Residuals: 31 MAE: 54.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0248 0.0001 0.001 0.0246 0.0251
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 407
R² 0.983
coef (ms) 0.02392
p-value 1.00e-03
95% CI [0.02354, 0.02426]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 407 RMSE: 88.82
Df Residuals: 405 MAE: 76.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 592.6140 14.5298 0.001 566.2769 624.9217
opcount 0.0239 0.0002 0.001 0.0235 0.0243
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · nethermind
nobs 352
R² 0.7967
coef (ms) 0.01727
p-value 1.00e-03
95% CI [0.01631, 0.01823]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.796
No. Observations: 352 RMSE: 246.47
Df Residuals: 350 MAE: 209.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 657.6170 51.1696 0.001 561.4177 757.0305
opcount 0.0173 0.0005 0.001 0.0163 0.0182
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 374
R² 0.9814
coef (ms) 0.001545
p-value 1.00e-03
95% CI [0.001523, 0.001567]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 374 RMSE: 6.01
Df Residuals: 372 MAE: 4.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.0314 1.0837 0.001 30.9309 35.0915
opcount 0.0015 0.0000 0.001 0.0015 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · besu
nobs 341
R² 0.9011
coef (ms) 0.1923
p-value 1.00e-03
95% CI [0.1855, 0.1989]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.901
No. Observations: 341 RMSE: 39.12
Df Residuals: 339 MAE: 29.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 431.1008 6.5603 0.001 417.7906 444.1763
opcount 0.1923 0.0034 0.001 0.1855 0.1989
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 198
R² 0.9976
coef (ms) 0.131
p-value 1.00e-03
95% CI [0.1301, 0.1319]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 198 RMSE: 3.95
Df Residuals: 196 MAE: 3.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.3285 0.8983 0.001 55.6038 59.1115
opcount 0.1310 0.0005 0.001 0.1301 0.1319
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · ethrex
nobs 33
R² 0.9969
coef (ms) 0.2499
p-value 1.00e-03
95% CI [0.2452, 0.2549]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 33 RMSE: 8.60
Df Residuals: 31 MAE: 7.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 674.0023 4.8077 0.001 664.8160 683.1302
opcount 0.2499 0.0024 0.001 0.2452 0.2549
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · geth
nobs 407
R² 0.9162
coef (ms) 0.1381
p-value 1.00e-03
95% CI [0.134, 0.1422]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.916
Model: NNLS Adj. R-squared: 0.916
No. Observations: 407 RMSE: 25.66
Df Residuals: 405 MAE: 18.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.0556 3.8962 0.001 74.7978 90.0289
opcount 0.1381 0.0021 0.001 0.1340 0.1422
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 352
R² 0.6811
coef (ms) 0.05056
p-value 1.00e-03
95% CI [0.04652, 0.05442]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.681
Model: NNLS Adj. R-squared: 0.680
No. Observations: 352 RMSE: 21.25
Df Residuals: 350 MAE: 16.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.5257 3.4438 0.001 93.3127 106.7547
opcount 0.0506 0.0020 0.001 0.0465 0.0544
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 374
R² 0.9985
coef (ms) 0.1527
p-value 1.00e-03
95% CI [0.1521, 0.1534]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 374 RMSE: 3.65
Df Residuals: 372 MAE: 2.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.4262 0.6471 0.001 50.2208 52.7079
opcount 0.1527 0.0003 0.001 0.1521 0.1534
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 341
R² 0.9682
coef (ms) 0.08755
p-value 1.00e-03
95% CI [0.08592, 0.08918]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 341 RMSE: 198.73
Df Residuals: 339 MAE: 153.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1247.5699 30.2684 0.001 1187.6608 1305.2107
opcount 0.0875 0.0008 0.001 0.0859 0.0892
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 198
R² 0.9988
coef (ms) 0.1015
p-value 1.00e-03
95% CI [0.1011, 0.102]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.999
Model: NNLS Adj. R-squared: 0.999
No. Observations: 198 RMSE: 44.01
Df Residuals: 196 MAE: 35.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 857.5693 9.0583 0.001 839.1085 874.7745
opcount 0.1015 0.0002 0.001 0.1011 0.1020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · ethrex
nobs 33
R² 0.9995
coef (ms) 0.237
p-value 1.00e-03
95% CI [0.2347, 0.2391]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.999
Model: NNLS Adj. R-squared: 0.999
No. Observations: 33 RMSE: 68.96
Df Residuals: 31 MAE: 55.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1346.0076 46.4973 0.001 1268.8184 1447.8966
opcount 0.2370 0.0011 0.001 0.2347 0.2391
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 407
R² 0.9945
coef (ms) 0.09391
p-value 1.00e-03
95% CI [0.09323, 0.09455]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 407 RMSE: 87.09
Df Residuals: 405 MAE: 67.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 771.6628 13.5618 0.001 746.2582 799.8168
opcount 0.0939 0.0003 0.001 0.0932 0.0945
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 352
R² 0.9421
coef (ms) 0.03891
p-value 1.00e-03
95% CI [0.03792, 0.0399]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 352 RMSE: 120.84
Df Residuals: 350 MAE: 96.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 744.2310 23.1330 0.001 699.8023 789.4701
opcount 0.0389 0.0005 0.001 0.0379 0.0399
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 374
R² 0.9987
coef (ms) 0.0868
p-value 1.00e-03
95% CI [0.08644, 0.08717]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.999
Model: NNLS Adj. R-squared: 0.999
No. Observations: 374 RMSE: 38.49
Df Residuals: 372 MAE: 32.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 724.2928 7.7509 0.001 709.8254 740.2277
opcount 0.0868 0.0002 0.001 0.0864 0.0872
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 341
R² 0.7066
coef (ms) 0.01317
p-value 1.00e-03
95% CI [0.01227, 0.0141]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.707
Model: NNLS Adj. R-squared: 0.706
No. Observations: 341 RMSE: 202.79
Df Residuals: 339 MAE: 184.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 684.0017 32.4336 0.001 621.7230 747.4210
opcount 0.0132 0.0005 0.001 0.0123 0.0141
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 198
R² 0.9726
coef (ms) 0.008979
p-value 1.00e-03
95% CI [0.008777, 0.00919]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.972
No. Observations: 198 RMSE: 36.03
Df Residuals: 196 MAE: 31.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.6295 7.0241 0.024 0.6553 27.9299
opcount 0.0090 0.0001 0.001 0.0088 0.0092
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · ethrex
nobs 33
R² 0.9797
coef (ms) 0.01759
p-value 1.00e-03
95% CI [0.01663, 0.01869]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.979
No. Observations: 33 RMSE: 60.56
Df Residuals: 31 MAE: 54.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 161.0060 42.9329 0.001 77.3550 244.5729
opcount 0.0176 0.0005 0.001 0.0166 0.0187
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 407
R² 0.9418
coef (ms) 0.01059
p-value 1.00e-03
95% CI [0.01028, 0.01091]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 407 RMSE: 62.91
Df Residuals: 405 MAE: 49.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 470.9402 14.0996 0.001 442.2898 497.0788
opcount 0.0106 0.0002 0.001 0.0103 0.0109
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 352
R² 0.9417
coef (ms) 0.00343
p-value 1.00e-03
95% CI [0.003336, 0.003511]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.941
No. Observations: 352 RMSE: 20.40
Df Residuals: 350 MAE: 14.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 85.4938 3.5527 0.001 79.1798 93.0441
opcount 0.0034 0.0000 0.001 0.0033 0.0035
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 374
R² 0.9468
coef (ms) 0.001217
p-value 1.00e-03
95% CI [0.001188, 0.001249]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.947
No. Observations: 374 RMSE: 6.90
Df Residuals: 372 MAE: 5.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.3690 1.1354 0.001 39.1437 43.5896
opcount 0.0012 0.0000 0.001 0.0012 0.0012
==============================================================================
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 341
R² 0.7657
coef (ms) 0.01361
p-value 1.00e-03
95% CI [0.01272, 0.01435]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.765
No. Observations: 341 RMSE: 179.90
Df Residuals: 339 MAE: 164.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 537.1474 29.2548 0.001 483.1538 597.2341
opcount 0.0136 0.0004 0.001 0.0127 0.0143
==============================================================================
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 198
R² 0.9618
coef (ms) 0.008233
p-value 1.00e-03
95% CI [0.00801, 0.008331]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 198 RMSE: 39.20
Df Residuals: 196 MAE: 33.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.6226 4.8702 0.387 0.0000 15.7443
opcount 0.0082 0.0001 0.001 0.0080 0.0083
==============================================================================
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 33
R² 0.9945
coef (ms) 0.002718
p-value 1.00e-03
95% CI [0.002662, 0.00274]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.994
No. Observations: 33 RMSE: 4.85
Df Residuals: 31 MAE: 3.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.1243 1.000 0.0000 3.9600
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
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 407
R² 0.8679
coef (ms) 0.02184
p-value 1.00e-03
95% CI [0.02098, 0.02273]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 407 RMSE: 203.63
Df Residuals: 405 MAE: 175.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 765.8533 38.2562 0.001 686.5834 841.5428
opcount 0.0218 0.0004 0.001 0.0210 0.0227
==============================================================================
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 352
R² 0.9423
coef (ms) 0.003444
p-value 1.00e-03
95% CI [0.003364, 0.003525]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 352 RMSE: 20.37
Df Residuals: 350 MAE: 14.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.7647 3.2207 0.001 64.6712 76.7606
opcount 0.0034 0.0000 0.001 0.0034 0.0035
==============================================================================
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 374
R² 0.9626
coef (ms) 0.000903
p-value 1.00e-03
95% CI [0.0008839, 0.0009203]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.962
No. Observations: 374 RMSE: 4.26
Df Residuals: 372 MAE: 3.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.0513 0.7634 0.001 41.6720 44.6120
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.8579
coef (ms) 0.02942
p-value 1.00e-03
95% CI [0.02825, 0.03061]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.857
No. Observations: 341 RMSE: 249.15
Df Residuals: 339 MAE: 226.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 503.5153 36.0633 0.001 436.1991 576.0232
opcount 0.0294 0.0006 0.001 0.0283 0.0306
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.9138
coef (ms) 0.03406
p-value 1.00e-03
95% CI [0.03258, 0.03544]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.913
No. Observations: 198 RMSE: 217.73
Df Residuals: 196 MAE: 189.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 256.0970 52.8280 0.001 156.5617 369.7148
opcount 0.0341 0.0007 0.001 0.0326 0.0354
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 33
R² 0.9817
coef (ms) 0.01802
p-value 1.00e-03
95% CI [0.01705, 0.019]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.981
No. Observations: 33 RMSE: 51.27
Df Residuals: 31 MAE: 45.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 146.2875 36.7753 0.001 81.0859 220.6398
opcount 0.0180 0.0005 0.001 0.0170 0.0190
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 407
R² 0.8684
coef (ms) 0.0231
p-value 1.00e-03
95% CI [0.02217, 0.024]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 407 RMSE: 187.07
Df Residuals: 405 MAE: 161.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 738.8452 35.2016 0.001 673.8714 810.5928
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 352
R² 0.8216
coef (ms) 0.01862
p-value 1.00e-03
95% CI [0.01762, 0.01957]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.821
No. Observations: 352 RMSE: 180.53
Df Residuals: 350 MAE: 153.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 473.9778 36.2051 0.001 402.0857 551.4819
opcount 0.0186 0.0005 0.001 0.0176 0.0196
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 374
R² 0.8968
coef (ms) 0.01849
p-value 1.00e-03
95% CI [0.01794, 0.01918]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 374 RMSE: 130.53
Df Residuals: 372 MAE: 56.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 264.4718 18.2360 0.001 227.6795 297.4112
opcount 0.0185 0.0003 0.001 0.0179 0.0192
==============================================================================
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 341
R² 0.7657
coef (ms) 0.01361
p-value 1.00e-03
95% CI [0.01272, 0.01435]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.765
No. Observations: 341 RMSE: 179.90
Df Residuals: 339 MAE: 164.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 537.1474 29.2548 0.001 483.1538 597.2341
opcount 0.0136 0.0004 0.001 0.0127 0.0143
==============================================================================
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 198
R² 0.9618
coef (ms) 0.008233
p-value 1.00e-03
95% CI [0.00801, 0.008331]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 198 RMSE: 39.20
Df Residuals: 196 MAE: 33.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.6226 4.8702 0.387 0.0000 15.7443
opcount 0.0082 0.0001 0.001 0.0080 0.0083
==============================================================================
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 33
R² 0.9945
coef (ms) 0.002718
p-value 1.00e-03
95% CI [0.002662, 0.00274]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.994
No. Observations: 33 RMSE: 4.85
Df Residuals: 31 MAE: 3.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.1243 1.000 0.0000 3.9600
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
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 407
R² 0.8679
coef (ms) 0.02184
p-value 1.00e-03
95% CI [0.02098, 0.02273]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 407 RMSE: 203.63
Df Residuals: 405 MAE: 175.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 765.8533 38.2562 0.001 686.5834 841.5428
opcount 0.0218 0.0004 0.001 0.0210 0.0227
==============================================================================
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 352
R² 0.9423
coef (ms) 0.003444
p-value 1.00e-03
95% CI [0.003364, 0.003525]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 352 RMSE: 20.37
Df Residuals: 350 MAE: 14.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.7647 3.2207 0.001 64.6712 76.7606
opcount 0.0034 0.0000 0.001 0.0034 0.0035
==============================================================================
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 374
R² 0.9626
coef (ms) 0.000903
p-value 1.00e-03
95% CI [0.0008839, 0.0009203]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.962
No. Observations: 374 RMSE: 4.26
Df Residuals: 372 MAE: 3.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.0513 0.7634 0.001 41.6720 44.6120
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 341
R² 0.471
coef (ms) 0.0001449
p-value 1.00e-03
95% CI [0.0001284, 0.0001615]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.471
Model: NNLS Adj. R-squared: 0.469
No. Observations: 341 RMSE: 89.81
Df Residuals: 339 MAE: 67.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 256.8090 16.9146 0.001 224.8941 290.0409
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · erigon
nobs 198
R² 0.8492
coef (ms) 4.426e-05
p-value 1.00e-03
95% CI [4.202e-05, 4.725e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 198 RMSE: 10.91
Df Residuals: 196 MAE: 5.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.8857 1.9451 0.001 20.7208 28.4286
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 · ethrex
nobs 33
R² 0.6508
coef (ms) 1.267e-05
p-value 1.00e-03
95% CI [9.958e-06, 1.537e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.651
Model: NNLS Adj. R-squared: 0.640
No. Observations: 33 RMSE: 5.43
Df Residuals: 31 MAE: 4.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4859 2.7360 0.001 7.6494 18.2007
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 407
R² 0.8778
coef (ms) 3.249e-05
p-value 1.00e-03
95% CI [3.126e-05, 3.372e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.878
No. Observations: 407 RMSE: 7.09
Df Residuals: 405 MAE: 5.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.1118 1.1232 0.001 12.9290 17.3912
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 352
R² 0.7287
coef (ms) 0.0001397
p-value 1.00e-03
95% CI [0.0001299, 0.0001482]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.728
No. Observations: 352 RMSE: 49.84
Df Residuals: 350 MAE: 38.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.8199 7.5965 0.001 75.1468 105.1676
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 374
R² 0.7469
coef (ms) 9.388e-06
p-value 1.00e-03
95% CI [8.849e-06, 9.949e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.747
Model: NNLS Adj. R-squared: 0.746
No. Observations: 374 RMSE: 3.20
Df Residuals: 372 MAE: 2.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.2392 0.5055 0.001 4.2523 6.1963
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 341
R² 0.7723
coef (ms) 0.01702
p-value 1.00e-03
95% CI [0.01603, 0.01799]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.772
No. Observations: 341 RMSE: 219.39
Df Residuals: 339 MAE: 193.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 746.2677 37.0960 0.001 672.3052 822.1784
opcount 0.0170 0.0005 0.001 0.0160 0.0180
==============================================================================
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 198
R² 0.9796
coef (ms) 0.01025
p-value 1.00e-03
95% CI [0.01004, 0.01046]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 198 RMSE: 35.12
Df Residuals: 196 MAE: 30.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.6928 7.0275 0.001 13.6774 41.8765
opcount 0.0103 0.0001 0.001 0.0100 0.0105
==============================================================================
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 33
R² 0.9801
coef (ms) 0.01767
p-value 1.00e-03
95% CI [0.01667, 0.01872]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.979
No. Observations: 33 RMSE: 59.80
Df Residuals: 31 MAE: 53.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 167.2530 43.4728 0.001 88.1887 252.7383
opcount 0.0177 0.0005 0.001 0.0167 0.0187
==============================================================================
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 407
R² 0.9418
coef (ms) 0.01075
p-value 1.00e-03
95% CI [0.0104, 0.01108]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 407 RMSE: 63.48
Df Residuals: 405 MAE: 49.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 472.4492 15.0752 0.001 444.8461 503.4636
opcount 0.0107 0.0002 0.001 0.0104 0.0111
==============================================================================
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 352
R² 0.9028
coef (ms) 0.003975
p-value 1.00e-03
95% CI [0.003816, 0.004142]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 352 RMSE: 30.98
Df Residuals: 350 MAE: 19.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.0459 5.8591 0.001 69.5526 93.4291
opcount 0.0040 0.0001 0.001 0.0038 0.0041
==============================================================================
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 374
R² 0.9464
coef (ms) 0.001263
p-value 1.00e-03
95% CI [0.001233, 0.001293]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.946
No. Observations: 374 RMSE: 7.13
Df Residuals: 372 MAE: 5.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.7474 1.1570 0.001 39.5249 43.9543
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
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 341
R² 0.7772
coef (ms) 0.0172
p-value 1.00e-03
95% CI [0.01622, 0.01824]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.777
No. Observations: 341 RMSE: 218.76
Df Residuals: 339 MAE: 198.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 571.4100 35.6374 0.001 500.5081 641.8352
opcount 0.0172 0.0005 0.001 0.0162 0.0182
==============================================================================
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 198
R² 0.9716
coef (ms) 0.009333
p-value 1.00e-03
95% CI [0.009084, 0.009478]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.971
No. Observations: 198 RMSE: 37.91
Df Residuals: 196 MAE: 33.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2175 6.5993 0.216 0.0000 22.3773
opcount 0.0093 0.0001 0.001 0.0091 0.0095
==============================================================================
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 33
R² 0.9882
coef (ms) 0.002663
p-value 1.00e-03
95% CI [0.002567, 0.002755]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 33 RMSE: 6.91
Df Residuals: 31 MAE: 5.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6658 3.9361 0.002 4.5641 19.6993
opcount 0.0027 0.0000 0.001 0.0026 0.0028
==============================================================================
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 407
R² 0.8684
coef (ms) 0.02221
p-value 1.00e-03
95% CI [0.0213, 0.02312]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 407 RMSE: 205.38
Df Residuals: 405 MAE: 175.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 770.6402 39.5551 0.001 693.9277 843.8822
opcount 0.0222 0.0005 0.001 0.0213 0.0231
==============================================================================
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 352
R² 0.9317
coef (ms) 0.003817
p-value 1.00e-03
95% CI [0.003706, 0.003915]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 352 RMSE: 24.54
Df Residuals: 350 MAE: 18.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.3409 4.1797 0.001 76.1432 92.0628
opcount 0.0038 0.0001 0.001 0.0037 0.0039
==============================================================================
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 374
R² 0.9657
coef (ms) 0.0009317
p-value 1.00e-03
95% CI [0.000912, 0.0009491]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 374 RMSE: 4.17
Df Residuals: 372 MAE: 3.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.2871 0.7731 0.001 42.9126 45.9211
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
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 341
R² 0.8854
coef (ms) 0.03214
p-value 1.00e-03
95% CI [0.03093, 0.0333]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 341 RMSE: 235.27
Df Residuals: 339 MAE: 211.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 526.2135 36.9666 0.001 457.3414 597.0988
opcount 0.0321 0.0006 0.001 0.0309 0.0333
==============================================================================
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 198
R² 0.8818
coef (ms) 0.08032
p-value 1.00e-03
95% CI [0.07642, 0.08421]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.881
No. Observations: 198 RMSE: 598.27
Df Residuals: 196 MAE: 522.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 928.6452 154.4428 0.001 627.5943 1233.7668
opcount 0.0803 0.0020 0.001 0.0764 0.0842
==============================================================================
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 33
R² 0.9821
coef (ms) 0.01831
p-value 1.00e-03
95% CI [0.01738, 0.01923]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 33 RMSE: 50.31
Df Residuals: 31 MAE: 45.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 142.2267 34.4358 0.001 80.1074 209.1611
opcount 0.0183 0.0005 0.001 0.0174 0.0192
==============================================================================
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 407
R² 0.8715
coef (ms) 0.02364
p-value 1.00e-03
95% CI [0.02269, 0.02461]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.871
No. Observations: 407 RMSE: 184.71
Df Residuals: 405 MAE: 159.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 733.4186 35.3603 0.001 665.4394 806.6050
opcount 0.0236 0.0005 0.001 0.0227 0.0246
==============================================================================
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 352
R² 0.8053
coef (ms) 0.0193
p-value 1.00e-03
95% CI [0.0182, 0.02045]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 352 RMSE: 193.13
Df Residuals: 350 MAE: 162.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 586.6280 42.6781 0.001 507.2624 665.9476
opcount 0.0193 0.0006 0.001 0.0182 0.0205
==============================================================================
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 374
R² 0.851
coef (ms) 0.01835
p-value 1.00e-03
95% CI [0.01754, 0.01926]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 374 RMSE: 156.24
Df Residuals: 372 MAE: 77.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 297.9014 26.7017 0.001 244.2219 347.6301
opcount 0.0183 0.0004 0.001 0.0175 0.0193
==============================================================================
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 341
R² 0.7772
coef (ms) 0.0172
p-value 1.00e-03
95% CI [0.01622, 0.01824]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.777
No. Observations: 341 RMSE: 218.76
Df Residuals: 339 MAE: 198.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 571.4100 35.6374 0.001 500.5081 641.8352
opcount 0.0172 0.0005 0.001 0.0162 0.0182
==============================================================================
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 198
R² 0.9716
coef (ms) 0.009333
p-value 1.00e-03
95% CI [0.009084, 0.009478]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.971
No. Observations: 198 RMSE: 37.91
Df Residuals: 196 MAE: 33.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2175 6.5993 0.216 0.0000 22.3773
opcount 0.0093 0.0001 0.001 0.0091 0.0095
==============================================================================
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 33
R² 0.9882
coef (ms) 0.002663
p-value 1.00e-03
95% CI [0.002567, 0.002755]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 33 RMSE: 6.91
Df Residuals: 31 MAE: 5.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6658 3.9361 0.002 4.5641 19.6993
opcount 0.0027 0.0000 0.001 0.0026 0.0028
==============================================================================
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 407
R² 0.8684
coef (ms) 0.02221
p-value 1.00e-03
95% CI [0.0213, 0.02312]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 407 RMSE: 205.38
Df Residuals: 405 MAE: 175.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 770.6402 39.5551 0.001 693.9277 843.8822
opcount 0.0222 0.0005 0.001 0.0213 0.0231
==============================================================================
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 352
R² 0.9317
coef (ms) 0.003817
p-value 1.00e-03
95% CI [0.003706, 0.003915]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 352 RMSE: 24.54
Df Residuals: 350 MAE: 18.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.3409 4.1797 0.001 76.1432 92.0628
opcount 0.0038 0.0001 0.001 0.0037 0.0039
==============================================================================
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 374
R² 0.9657
coef (ms) 0.0009317
p-value 1.00e-03
95% CI [0.000912, 0.0009491]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 374 RMSE: 4.17
Df Residuals: 372 MAE: 3.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.2871 0.7731 0.001 42.9126 45.9211
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
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 341
R² 0.9367
coef (ms) 0.08132
p-value 1.00e-03
95% CI [0.07901, 0.08374]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.937
Model: NNLS Adj. R-squared: 0.937
No. Observations: 341 RMSE: 142.23
Df Residuals: 339 MAE: 118.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 466.2010 25.8206 0.001 414.7477 516.2333
opcount 0.0813 0.0012 0.001 0.0790 0.0837
==============================================================================
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 198
R² 0.9941
coef (ms) 0.0875
p-value 1.00e-03
95% CI [0.08652, 0.08845]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 198 RMSE: 45.20
Df Residuals: 196 MAE: 41.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 540.5293 11.0670 0.001 520.8366 562.0691
opcount 0.0875 0.0005 0.001 0.0865 0.0885
==============================================================================
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 33
R² 0.9969
coef (ms) 0.02505
p-value 1.00e-03
95% CI [0.02455, 0.02559]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 33 RMSE: 9.37
Df Residuals: 31 MAE: 7.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.1217 5.3750 0.001 51.4098 72.8866
opcount 0.0251 0.0003 0.001 0.0245 0.0256
==============================================================================
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 407
R² 0.9952
coef (ms) 0.0609
p-value 1.00e-03
95% CI [0.06051, 0.06128]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 407 RMSE: 28.57
Df Residuals: 405 MAE: 22.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 198.6056 4.3118 0.001 190.6312 206.9681
opcount 0.0609 0.0002 0.001 0.0605 0.0613
==============================================================================
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 352
R² 0.8711
coef (ms) 0.03228
p-value 1.00e-03
95% CI [0.03098, 0.03361]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 352 RMSE: 83.56
Df Residuals: 350 MAE: 68.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 153.1275 12.4473 0.001 128.0886 177.5379
opcount 0.0323 0.0007 0.001 0.0310 0.0336
==============================================================================
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 374
R² 0.9991
coef (ms) 0.08278
p-value 1.00e-03
95% CI [0.08255, 0.08299]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.999
Model: NNLS Adj. R-squared: 0.999
No. Observations: 374 RMSE: 16.38
Df Residuals: 372 MAE: 13.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 332.8478 2.4962 0.001 328.1793 337.9519
opcount 0.0828 0.0001 0.001 0.0825 0.0830
==============================================================================
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 341
R² 0.7972
coef (ms) 0.2006
p-value 1.00e-03
95% CI [0.187, 0.2125]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.797
No. Observations: 341 RMSE: 33.31
Df Residuals: 339 MAE: 27.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 309.0635 6.6114 0.001 296.7170 323.4546
opcount 0.2006 0.0062 0.001 0.1870 0.2125
==============================================================================
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 198
R² 0.9757
coef (ms) 0.212
p-value 1.00e-03
95% CI [0.2075, 0.2161]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 198 RMSE: 11.01
Df Residuals: 196 MAE: 9.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 64.5015 2.5374 0.001 59.8157 69.7617
opcount 0.2120 0.0022 0.001 0.2075 0.2161
==============================================================================
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 33
R² 0.7794
coef (ms) 0.01407
p-value 1.00e-03
95% CI [0.01182, 0.01687]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.772
No. Observations: 33 RMSE: 2.46
Df Residuals: 31 MAE: 1.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.5509 1.4754 0.001 5.2966 10.9401
opcount 0.0141 0.0013 0.001 0.0118 0.0169
==============================================================================
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 407
R² 0.9051
coef (ms) 0.1034
p-value 1.00e-03
95% CI [0.1003, 0.1065]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.905
Model: NNLS Adj. R-squared: 0.905
No. Observations: 407 RMSE: 11.02
Df Residuals: 405 MAE: 8.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.7060 1.7920 0.001 51.3817 58.1554
opcount 0.1034 0.0016 0.001 0.1003 0.1065
==============================================================================
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 352
R² 0.8806
coef (ms) 0.04904
p-value 1.00e-03
95% CI [0.04709, 0.05112]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.880
No. Observations: 352 RMSE: 5.95
Df Residuals: 350 MAE: 4.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.9176 1.0631 0.001 17.8061 21.9656
opcount 0.0490 0.0010 0.001 0.0471 0.0511
==============================================================================
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 374
R² 0.9678
coef (ms) 0.0812
p-value 1.00e-03
95% CI [0.07986, 0.08246]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 374 RMSE: 4.87
Df Residuals: 372 MAE: 3.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.2492 0.7496 0.001 19.8079 22.7397
opcount 0.0812 0.0007 0.001 0.0799 0.0825
==============================================================================
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 341
R² 0.9101
coef (ms) 0.09573
p-value 1.00e-03
95% CI [0.09245, 0.09875]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 341 RMSE: 193.27
Df Residuals: 339 MAE: 160.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 943.0299 30.2697 0.001 887.6365 1004.3328
opcount 0.0957 0.0016 0.001 0.0925 0.0987
==============================================================================
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 198
R² 0.9982
coef (ms) 0.2789
p-value 1.00e-03
95% CI [0.2772, 0.2809]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 198 RMSE: 75.59
Df Residuals: 196 MAE: 63.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1621.5643 17.7715 0.001 1586.6005 1655.5992
opcount 0.2789 0.0010 0.001 0.2772 0.2809
==============================================================================
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 33
R² 0.9957
coef (ms) 0.02575
p-value 1.00e-03
95% CI [0.02518, 0.02638]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 33 RMSE: 10.87
Df Residuals: 31 MAE: 8.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 68.7977 6.0202 0.001 57.3993 81.4548
opcount 0.0257 0.0003 0.001 0.0252 0.0264
==============================================================================
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 407
R² 0.9928
coef (ms) 0.09797
p-value 1.00e-03
95% CI [0.09717, 0.09875]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 407 RMSE: 53.69
Df Residuals: 405 MAE: 40.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 378.7109 8.2854 0.001 362.5987 395.2116
opcount 0.0980 0.0004 0.001 0.0972 0.0987
==============================================================================
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 352
R² 0.8859
coef (ms) 0.05063
p-value 1.00e-03
95% CI [0.04884, 0.05249]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 352 RMSE: 116.72
Df Residuals: 350 MAE: 99.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 115.2709 17.2162 0.001 82.0186 147.8756
opcount 0.0506 0.0010 0.001 0.0488 0.0525
==============================================================================
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 374
R² 0.9992
coef (ms) 0.09342
p-value 1.00e-03
95% CI [0.09318, 0.09366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.999
Model: NNLS Adj. R-squared: 0.999
No. Observations: 374 RMSE: 16.64
Df Residuals: 372 MAE: 13.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 343.9349 2.6438 0.001 339.0908 349.3152
opcount 0.0934 0.0001 0.001 0.0932 0.0937
==============================================================================
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 341
R² 0.7972
coef (ms) 0.2006
p-value 1.00e-03
95% CI [0.187, 0.2125]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.797
No. Observations: 341 RMSE: 33.31
Df Residuals: 339 MAE: 27.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 309.0635 6.6114 0.001 296.7170 323.4546
opcount 0.2006 0.0062 0.001 0.1870 0.2125
==============================================================================
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 198
R² 0.9757
coef (ms) 0.212
p-value 1.00e-03
95% CI [0.2075, 0.2161]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 198 RMSE: 11.01
Df Residuals: 196 MAE: 9.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 64.5015 2.5374 0.001 59.8157 69.7617
opcount 0.2120 0.0022 0.001 0.2075 0.2161
==============================================================================
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 33
R² 0.7794
coef (ms) 0.01407
p-value 1.00e-03
95% CI [0.01182, 0.01687]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.772
No. Observations: 33 RMSE: 2.46
Df Residuals: 31 MAE: 1.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.5509 1.4754 0.001 5.2966 10.9401
opcount 0.0141 0.0013 0.001 0.0118 0.0169
==============================================================================
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 407
R² 0.9051
coef (ms) 0.1034
p-value 1.00e-03
95% CI [0.1003, 0.1065]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.905
Model: NNLS Adj. R-squared: 0.905
No. Observations: 407 RMSE: 11.02
Df Residuals: 405 MAE: 8.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.7060 1.7920 0.001 51.3817 58.1554
opcount 0.1034 0.0016 0.001 0.1003 0.1065
==============================================================================
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 352
R² 0.8806
coef (ms) 0.04904
p-value 1.00e-03
95% CI [0.04709, 0.05112]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.880
No. Observations: 352 RMSE: 5.95
Df Residuals: 350 MAE: 4.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.9176 1.0631 0.001 17.8061 21.9656
opcount 0.0490 0.0010 0.001 0.0471 0.0511
==============================================================================
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 374
R² 0.9678
coef (ms) 0.0812
p-value 1.00e-03
95% CI [0.07986, 0.08246]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 374 RMSE: 4.87
Df Residuals: 372 MAE: 3.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.2492 0.7496 0.001 19.8079 22.7397
opcount 0.0812 0.0007 0.001 0.0799 0.0825
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 341
R² 0.7412
coef (ms) 0.0005964
p-value 1.00e-03
95% CI [0.0005566, 0.0006395]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.740
No. Observations: 341 RMSE: 178.07
Df Residuals: 339 MAE: 143.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 747.4004 30.8347 0.001 681.7119 806.1443
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · erigon
nobs 198
R² 0.9679
coef (ms) 0.0004845
p-value 1.00e-03
95% CI [0.0004722, 0.0004947]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 198 RMSE: 44.56
Df Residuals: 196 MAE: 34.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.4229 9.4453 0.001 21.4137 57.9130
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 33
R² 0.9264
coef (ms) 9.1e-05
p-value 1.00e-03
95% CI [8.151e-05, 0.0001004]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.924
No. Observations: 33 RMSE: 12.96
Df Residuals: 31 MAE: 10.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.9162 8.3514 0.001 39.9378 73.2130
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 407
R² 0.9241
coef (ms) 0.0001419
p-value 1.00e-03
95% CI [0.0001377, 0.0001463]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.924
No. Observations: 407 RMSE: 20.54
Df Residuals: 405 MAE: 16.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.1505 3.3652 0.001 44.6583 58.0109
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 352
R² 0.7918
coef (ms) 0.0003926
p-value 1.00e-03
95% CI [0.0003698, 0.0004141]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.791
No. Observations: 352 RMSE: 101.72
Df Residuals: 350 MAE: 75.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.3031 16.4289 0.001 133.4708 199.0821
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · reth
nobs 374
R² 0.9226
coef (ms) 5.793e-05
p-value 1.00e-03
95% CI [5.639e-05, 5.958e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.922
No. Observations: 374 RMSE: 8.48
Df Residuals: 372 MAE: 6.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.4712 1.3702 0.001 16.7349 21.9017
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 341
R² 0.7838
coef (ms) 0.01676
p-value 1.00e-03
95% CI [0.01585, 0.01761]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.784
Model: NNLS Adj. R-squared: 0.783
No. Observations: 341 RMSE: 209.05
Df Residuals: 339 MAE: 184.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 686.1117 32.1577 0.001 626.5687 749.7275
opcount 0.0168 0.0005 0.001 0.0158 0.0176
==============================================================================
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 198
R² 0.973
coef (ms) 0.009167
p-value 1.00e-03
95% CI [0.008952, 0.009394]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 198 RMSE: 36.24
Df Residuals: 196 MAE: 31.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.5308 7.2696 0.001 14.8132 43.1824
opcount 0.0092 0.0001 0.001 0.0090 0.0094
==============================================================================
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 33
R² 0.9811
coef (ms) 0.01762
p-value 1.00e-03
95% CI [0.01668, 0.01855]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.980
No. Observations: 33 RMSE: 58.09
Df Residuals: 31 MAE: 51.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 169.5204 41.2376 0.001 97.3682 252.3164
opcount 0.0176 0.0005 0.001 0.0167 0.0185
==============================================================================
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 407
R² 0.9457
coef (ms) 0.01099
p-value 1.00e-03
95% CI [0.01067, 0.01129]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.946
No. Observations: 407 RMSE: 62.53
Df Residuals: 405 MAE: 49.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 463.3938 14.5538 0.001 436.5891 492.8527
opcount 0.0110 0.0002 0.001 0.0107 0.0113
==============================================================================
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 352
R² 0.938
coef (ms) 0.003627
p-value 1.00e-03
95% CI [0.003534, 0.003721]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 352 RMSE: 22.14
Df Residuals: 350 MAE: 16.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 85.3635 3.6045 0.001 78.6745 92.5844
opcount 0.0036 0.0000 0.001 0.0035 0.0037
==============================================================================
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 374
R² 0.9496
coef (ms) 0.001279
p-value 1.00e-03
95% CI [0.001248, 0.001311]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 374 RMSE: 6.99
Df Residuals: 372 MAE: 5.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.1392 1.1058 0.001 37.9497 42.3817
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.7578
coef (ms) 0.01607
p-value 1.00e-03
95% CI [0.01504, 0.01706]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.758
Model: NNLS Adj. R-squared: 0.757
No. Observations: 341 RMSE: 215.75
Df Residuals: 339 MAE: 197.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 552.5229 35.4418 0.001 485.4439 628.3398
opcount 0.0161 0.0005 0.001 0.0150 0.0171
==============================================================================
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 198
R² 0.9634
coef (ms) 0.008714
p-value 1.00e-03
95% CI [0.008472, 0.008907]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 198 RMSE: 40.31
Df Residuals: 196 MAE: 34.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3873 7.3702 0.100 0.0000 25.5948
opcount 0.0087 0.0001 0.001 0.0085 0.0089
==============================================================================
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 33
R² 0.991
coef (ms) 0.002774
p-value 1.00e-03
95% CI [0.002685, 0.002833]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 33 RMSE: 6.29
Df Residuals: 31 MAE: 5.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.7371 2.6435 0.214 0.0000 9.0363
opcount 0.0028 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 407
R² 0.8727
coef (ms) 0.02273
p-value 1.00e-03
95% CI [0.02185, 0.02367]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.872
No. Observations: 407 RMSE: 206.14
Df Residuals: 405 MAE: 176.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 771.1328 40.2127 0.001 687.9473 846.4293
opcount 0.0227 0.0005 0.001 0.0218 0.0237
==============================================================================
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 352
R² 0.8986
coef (ms) 0.003617
p-value 1.00e-03
95% CI [0.003492, 0.003779]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.898
No. Observations: 352 RMSE: 28.84
Df Residuals: 350 MAE: 17.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.6257 5.0560 0.001 61.0435 81.2485
opcount 0.0036 0.0001 0.001 0.0035 0.0038
==============================================================================
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 374
R² 0.9681
coef (ms) 0.000908
p-value 1.00e-03
95% CI [0.0008918, 0.0009255]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 374 RMSE: 3.91
Df Residuals: 372 MAE: 3.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.7599 0.6763 0.001 43.4165 46.0901
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
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 341
R² 0.8791
coef (ms) 0.03202
p-value 1.00e-03
95% CI [0.03082, 0.03322]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.879
No. Observations: 341 RMSE: 241.70
Df Residuals: 339 MAE: 218.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 522.3045 36.4563 0.001 451.1843 591.8587
opcount 0.0320 0.0006 0.001 0.0308 0.0332
==============================================================================
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 198
R² 0.8808
coef (ms) 0.08
p-value 1.00e-03
95% CI [0.07615, 0.08361]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.880
No. Observations: 198 RMSE: 598.79
Df Residuals: 196 MAE: 522.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 932.5206 147.3593 0.001 652.4513 1217.6326
opcount 0.0800 0.0020 0.001 0.0762 0.0836
==============================================================================
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 33
R² 0.9824
coef (ms) 0.01826
p-value 1.00e-03
95% CI [0.01727, 0.01925]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 33 RMSE: 49.71
Df Residuals: 31 MAE: 43.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 143.9472 36.5267 0.001 74.3628 216.1637
opcount 0.0183 0.0005 0.001 0.0173 0.0192
==============================================================================
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 407
R² 0.8696
coef (ms) 0.02357
p-value 1.00e-03
95% CI [0.02263, 0.02451]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 407 RMSE: 185.72
Df Residuals: 405 MAE: 159.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 734.5173 34.8219 0.001 663.1809 802.6131
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 352
R² 0.8076
coef (ms) 0.01895
p-value 1.00e-03
95% CI [0.01792, 0.02002]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.808
Model: NNLS Adj. R-squared: 0.807
No. Observations: 352 RMSE: 188.24
Df Residuals: 350 MAE: 158.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 609.0403 38.3763 0.001 536.8188 685.2627
opcount 0.0189 0.0005 0.001 0.0179 0.0200
==============================================================================
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 374
R² 0.8513
coef (ms) 0.0178
p-value 1.00e-03
95% CI [0.01706, 0.01859]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 374 RMSE: 151.34
Df Residuals: 372 MAE: 72.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 330.1698 26.0955 0.001 278.0847 379.0171
opcount 0.0178 0.0004 0.001 0.0171 0.0186
==============================================================================
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 341
R² 0.7578
coef (ms) 0.01607
p-value 1.00e-03
95% CI [0.01504, 0.01706]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.758
Model: NNLS Adj. R-squared: 0.757
No. Observations: 341 RMSE: 215.75
Df Residuals: 339 MAE: 197.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 552.5229 35.4418 0.001 485.4439 628.3398
opcount 0.0161 0.0005 0.001 0.0150 0.0171
==============================================================================
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 198
R² 0.9634
coef (ms) 0.008714
p-value 1.00e-03
95% CI [0.008472, 0.008907]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 198 RMSE: 40.31
Df Residuals: 196 MAE: 34.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.3873 7.3702 0.100 0.0000 25.5948
opcount 0.0087 0.0001 0.001 0.0085 0.0089
==============================================================================
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 33
R² 0.991
coef (ms) 0.002774
p-value 1.00e-03
95% CI [0.002685, 0.002833]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 33 RMSE: 6.29
Df Residuals: 31 MAE: 5.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.7371 2.6435 0.214 0.0000 9.0363
opcount 0.0028 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 407
R² 0.8727
coef (ms) 0.02273
p-value 1.00e-03
95% CI [0.02185, 0.02367]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.872
No. Observations: 407 RMSE: 206.14
Df Residuals: 405 MAE: 176.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 771.1328 40.2127 0.001 687.9473 846.4293
opcount 0.0227 0.0005 0.001 0.0218 0.0237
==============================================================================
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 352
R² 0.8986
coef (ms) 0.003617
p-value 1.00e-03
95% CI [0.003492, 0.003779]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.898
No. Observations: 352 RMSE: 28.84
Df Residuals: 350 MAE: 17.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 71.6257 5.0560 0.001 61.0435 81.2485
opcount 0.0036 0.0001 0.001 0.0035 0.0038
==============================================================================
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 374
R² 0.9681
coef (ms) 0.000908
p-value 1.00e-03
95% CI [0.0008918, 0.0009255]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 374 RMSE: 3.91
Df Residuals: 372 MAE: 3.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.7599 0.6763 0.001 43.4165 46.0901
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
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 341
R² 0.7787
coef (ms) 0.02696
p-value 1.00e-03
95% CI [0.02536, 0.02867]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.778
No. Observations: 341 RMSE: 96.72
Df Residuals: 339 MAE: 80.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 115.6936 15.3946 0.001 83.4702 145.2260
opcount 0.0270 0.0008 0.001 0.0254 0.0287
==============================================================================
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 198
R² 0.9641
coef (ms) 0.007459
p-value 1.00e-03
95% CI [0.007274, 0.007657]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 198 RMSE: 9.69
Df Residuals: 196 MAE: 7.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.5919 1.9031 0.001 20.7734 27.9930
opcount 0.0075 0.0001 0.001 0.0073 0.0077
==============================================================================
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 33
R² 0.994
coef (ms) 0.01511
p-value 1.00e-03
95% CI [0.01461, 0.01562]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 33 RMSE: 7.87
Df Residuals: 31 MAE: 6.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 55.4439 5.9629 0.001 44.2109 67.9273
opcount 0.0151 0.0003 0.001 0.0146 0.0156
==============================================================================
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 407
R² 0.9252
coef (ms) 0.01416
p-value 1.00e-03
95% CI [0.01372, 0.0146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.925
No. Observations: 407 RMSE: 27.11
Df Residuals: 405 MAE: 22.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 146.1741 5.6329 0.001 135.6450 157.5508
opcount 0.0142 0.0002 0.001 0.0137 0.0146
==============================================================================
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 352
R² 0.8173
coef (ms) 0.003905
p-value 1.00e-03
95% CI [0.003699, 0.004107]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.817
Model: NNLS Adj. R-squared: 0.817
No. Observations: 352 RMSE: 12.42
Df Residuals: 350 MAE: 9.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.2089 2.0831 0.001 54.2286 62.3892
opcount 0.0039 0.0001 0.001 0.0037 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · reth
nobs 374
R² 0.9279
coef (ms) 0.001598
p-value 1.00e-03
95% CI [0.001551, 0.001647]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 374 RMSE: 3.00
Df Residuals: 372 MAE: 2.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.2347 0.4894 0.001 9.2670 11.2253
opcount 0.0016 0.0000 0.001 0.0016 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 341
R² 0.3303
coef (ms) 0.006447
p-value 1.00e-03
95% CI [0.005436, 0.007503]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.330
Model: NNLS Adj. R-squared: 0.328
No. Observations: 341 RMSE: 61.79
Df Residuals: 339 MAE: 56.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 309.9820 10.2310 0.001 289.7002 329.8127
opcount 0.0064 0.0005 0.001 0.0054 0.0075
==============================================================================
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 198
R² 0.9465
coef (ms) 0.00189
p-value 1.00e-03
95% CI [0.001821, 0.001955]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.946
No. Observations: 198 RMSE: 3.02
Df Residuals: 196 MAE: 2.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.7124 0.7147 0.001 34.3679 37.1191
opcount 0.0019 0.0000 0.001 0.0018 0.0020
==============================================================================
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 33
R² 0.71
coef (ms) 0.0004219
p-value 1.00e-03
95% CI [0.0003329, 0.0005026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.710
Model: NNLS Adj. R-squared: 0.701
No. Observations: 33 RMSE: 1.81
Df Residuals: 31 MAE: 1.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0289 0.9333 0.001 9.2516 13.0095
opcount 0.0004 0.0000 0.001 0.0003 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 407
R² 0.9863
coef (ms) 0.01074
p-value 1.00e-03
95% CI [0.01061, 0.01086]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 407 RMSE: 8.50
Df Residuals: 405 MAE: 6.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 343.2917 1.3242 0.001 340.7121 345.7783
opcount 0.0107 0.0001 0.001 0.0106 0.0109
==============================================================================
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 352
R² 0.64
coef (ms) 0.001455
p-value 1.00e-03
95% CI [0.001338, 0.001569]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.640
Model: NNLS Adj. R-squared: 0.639
No. Observations: 352 RMSE: 7.35
Df Residuals: 350 MAE: 5.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.4691 1.2156 0.001 42.1417 46.8410
opcount 0.0015 0.0001 0.001 0.0013 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 374
R² 0.7626
coef (ms) 0.0002775
p-value 1.00e-03
95% CI [0.0002633, 0.0002913]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.762
No. Observations: 374 RMSE: 1.04
Df Residuals: 372 MAE: 0.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5794 0.1563 0.001 7.2822 7.8886
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 341
R² 0.7062
coef (ms) 0.03161
p-value 1.00e-03
95% CI [0.02945, 0.03381]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.706
Model: NNLS Adj. R-squared: 0.705
No. Observations: 341 RMSE: 130.96
Df Residuals: 339 MAE: 118.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 343.0818 20.4258 0.001 302.6403 384.3124
opcount 0.0316 0.0011 0.001 0.0294 0.0338
==============================================================================
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 198
R² 0.9175
coef (ms) 0.07298
p-value 1.00e-03
95% CI [0.07, 0.0757]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.917
No. Observations: 198 RMSE: 140.55
Df Residuals: 196 MAE: 116.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 344.4475 34.1831 0.001 278.9015 415.8477
opcount 0.0730 0.0014 0.001 0.0700 0.0757
==============================================================================
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 33
R² 0.9922
coef (ms) 0.0159
p-value 1.00e-03
95% CI [0.01527, 0.01647]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 33 RMSE: 9.07
Df Residuals: 31 MAE: 7.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.0179 6.9984 0.001 39.5212 67.6225
opcount 0.0159 0.0003 0.001 0.0153 0.0165
==============================================================================
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 407
R² 0.9019
coef (ms) 0.026
p-value 1.00e-03
95% CI [0.02506, 0.02691]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.902
Model: NNLS Adj. R-squared: 0.902
No. Observations: 407 RMSE: 55.08
Df Residuals: 405 MAE: 45.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 276.2476 11.3930 0.001 254.6912 297.5985
opcount 0.0260 0.0005 0.001 0.0251 0.0269
==============================================================================
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 352
R² 0.8912
coef (ms) 0.02168
p-value 1.00e-03
95% CI [0.02085, 0.02245]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 352 RMSE: 48.65
Df Residuals: 350 MAE: 40.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 124.0130 8.7923 0.001 107.6130 141.4261
opcount 0.0217 0.0004 0.001 0.0208 0.0224
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · reth
nobs 374
R² 0.8391
coef (ms) 0.02135
p-value 1.00e-03
95% CI [0.02034, 0.02248]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.839
No. Observations: 374 RMSE: 60.06
Df Residuals: 372 MAE: 30.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.3997 9.2494 0.001 23.9677 61.4006
opcount 0.0214 0.0005 0.001 0.0203 0.0225
==============================================================================
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 341
R² 0.3303
coef (ms) 0.006447
p-value 1.00e-03
95% CI [0.005436, 0.007503]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.330
Model: NNLS Adj. R-squared: 0.328
No. Observations: 341 RMSE: 61.79
Df Residuals: 339 MAE: 56.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 309.9820 10.2310 0.001 289.7002 329.8127
opcount 0.0064 0.0005 0.001 0.0054 0.0075
==============================================================================
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 198
R² 0.9465
coef (ms) 0.00189
p-value 1.00e-03
95% CI [0.001821, 0.001955]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.946
No. Observations: 198 RMSE: 3.02
Df Residuals: 196 MAE: 2.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.7124 0.7147 0.001 34.3679 37.1191
opcount 0.0019 0.0000 0.001 0.0018 0.0020
==============================================================================
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 33
R² 0.71
coef (ms) 0.0004219
p-value 1.00e-03
95% CI [0.0003329, 0.0005026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.710
Model: NNLS Adj. R-squared: 0.701
No. Observations: 33 RMSE: 1.81
Df Residuals: 31 MAE: 1.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.0289 0.9333 0.001 9.2516 13.0095
opcount 0.0004 0.0000 0.001 0.0003 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 407
R² 0.9863
coef (ms) 0.01074
p-value 1.00e-03
95% CI [0.01061, 0.01086]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 407 RMSE: 8.50
Df Residuals: 405 MAE: 6.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 343.2917 1.3242 0.001 340.7121 345.7783
opcount 0.0107 0.0001 0.001 0.0106 0.0109
==============================================================================
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 352
R² 0.64
coef (ms) 0.001455
p-value 1.00e-03
95% CI [0.001338, 0.001569]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.640
Model: NNLS Adj. R-squared: 0.639
No. Observations: 352 RMSE: 7.35
Df Residuals: 350 MAE: 5.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.4691 1.2156 0.001 42.1417 46.8410
opcount 0.0015 0.0001 0.001 0.0013 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 374
R² 0.7626
coef (ms) 0.0002775
p-value 1.00e-03
95% CI [0.0002633, 0.0002913]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.762
No. Observations: 374 RMSE: 1.04
Df Residuals: 372 MAE: 0.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5794 0.1563 0.001 7.2822 7.8886
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 · besu
nobs 341
R² 0.7535
coef (ms) 0.0005918
p-value 1.00e-03
95% CI [0.0005554, 0.0006281]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.754
Model: NNLS Adj. R-squared: 0.753
No. Observations: 341 RMSE: 170.99
Df Residuals: 339 MAE: 138.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 784.9552 26.9877 0.001 733.9366 837.3083
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 198
R² 0.9602
coef (ms) 0.0002592
p-value 1.00e-03
95% CI [0.000252, 0.0002662]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.960
No. Observations: 198 RMSE: 26.67
Df Residuals: 196 MAE: 21.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.5495 5.7659 0.001 28.5441 51.2376
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 33
R² 0.9164
coef (ms) 0.0001038
p-value 1.00e-03
95% CI [9.263e-05, 0.0001175]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.916
Model: NNLS Adj. R-squared: 0.914
No. Observations: 33 RMSE: 15.84
Df Residuals: 31 MAE: 12.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3011 9.4119 0.003 11.4095 48.5077
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 407
R² 0.9384
coef (ms) 0.0001972
p-value 1.00e-03
95% CI [0.0001919, 0.0002028]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 407 RMSE: 25.52
Df Residuals: 405 MAE: 20.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.7707 4.2188 0.001 40.4069 57.1054
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 352
R² 0.7934
coef (ms) 0.0002116
p-value 1.00e-03
95% CI [0.0002011, 0.0002245]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.793
No. Observations: 352 RMSE: 54.56
Df Residuals: 350 MAE: 39.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 146.5613 9.4905 0.001 127.6474 163.9190
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 374
R² 0.9167
coef (ms) 5.279e-05
p-value 1.00e-03
95% CI [5.124e-05, 5.434e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.917
Model: NNLS Adj. R-squared: 0.916
No. Observations: 374 RMSE: 8.04
Df Residuals: 372 MAE: 6.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.8222 1.3609 0.001 18.2053 23.5749
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 341
R² 0.7528
coef (ms) 0.01605
p-value 1.00e-03
95% CI [0.01506, 0.01701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.753
Model: NNLS Adj. R-squared: 0.752
No. Observations: 341 RMSE: 218.69
Df Residuals: 339 MAE: 198.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 720.0653 36.4173 0.001 649.1852 794.4406
opcount 0.0161 0.0005 0.001 0.0151 0.0170
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 198
R² 0.9748
coef (ms) 0.009157
p-value 1.00e-03
95% CI [0.00895, 0.009388]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 198 RMSE: 34.99
Df Residuals: 196 MAE: 30.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.0572 7.1733 0.001 13.9051 42.5372
opcount 0.0092 0.0001 0.001 0.0090 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · ethrex
nobs 33
R² 0.9805
coef (ms) 0.0176
p-value 1.00e-03
95% CI [0.01673, 0.01866]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 33 RMSE: 59.03
Df Residuals: 31 MAE: 52.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 170.8043 42.0352 0.001 87.6533 246.4538
opcount 0.0176 0.0005 0.001 0.0167 0.0187
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · geth
nobs 407
R² 0.9425
coef (ms) 0.0109
p-value 1.00e-03
95% CI [0.01058, 0.01121]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 407 RMSE: 64.06
Df Residuals: 405 MAE: 51.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 466.8038 14.5243 0.001 439.0427 496.2262
opcount 0.0109 0.0002 0.001 0.0106 0.0112
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 352
R² 0.9458
coef (ms) 0.003861
p-value 1.00e-03
95% CI [0.003763, 0.003961]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.946
No. Observations: 352 RMSE: 21.96
Df Residuals: 350 MAE: 17.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 90.7851 3.8792 0.001 82.9789 98.5271
opcount 0.0039 0.0001 0.001 0.0038 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 374
R² 0.9482
coef (ms) 0.001271
p-value 1.00e-03
95% CI [0.001241, 0.001302]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.948
No. Observations: 374 RMSE: 7.06
Df Residuals: 372 MAE: 5.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.7420 1.1579 0.001 37.5107 42.1873
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
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 341
R² 0.74
coef (ms) 0.0156
p-value 1.00e-03
95% CI [0.01465, 0.01663]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.740
Model: NNLS Adj. R-squared: 0.739
No. Observations: 341 RMSE: 219.79
Df Residuals: 339 MAE: 202.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 565.6662 35.3213 0.001 497.3193 632.9689
opcount 0.0156 0.0005 0.001 0.0146 0.0166
==============================================================================
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 198
R² 0.9686
coef (ms) 0.008768
p-value 1.00e-03
95% CI [0.008549, 0.008916]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.968
No. Observations: 198 RMSE: 37.51
Df Residuals: 196 MAE: 32.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.4363 6.2302 0.217 0.0000 20.1663
opcount 0.0088 0.0001 0.001 0.0085 0.0089
==============================================================================
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 33
R² 0.9893
coef (ms) 0.002741
p-value 1.00e-03
95% CI [0.002659, 0.002822]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 33 RMSE: 6.77
Df Residuals: 31 MAE: 5.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6771 2.7047 0.049 0.0000 10.6231
opcount 0.0027 0.0000 0.001 0.0027 0.0028
==============================================================================
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 407
R² 0.8725
coef (ms) 0.02249
p-value 1.00e-03
95% CI [0.02161, 0.02335]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.872
No. Observations: 407 RMSE: 204.38
Df Residuals: 405 MAE: 174.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 770.0028 39.2682 0.001 697.3402 848.1956
opcount 0.0225 0.0005 0.001 0.0216 0.0233
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 352
R² 0.9067
coef (ms) 0.003831
p-value 1.00e-03
95% CI [0.003686, 0.003978]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.906
No. Observations: 352 RMSE: 29.21
Df Residuals: 350 MAE: 19.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.2406 4.9617 0.001 70.7178 90.5096
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
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 374
R² 0.965
coef (ms) 0.000928
p-value 1.00e-03
95% CI [0.0009088, 0.0009451]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 374 RMSE: 4.20
Df Residuals: 372 MAE: 3.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.5923 0.7408 0.001 42.1702 45.0947
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.8696
coef (ms) 0.03243
p-value 1.00e-03
95% CI [0.03117, 0.03362]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 341 RMSE: 255.85
Df Residuals: 339 MAE: 230.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 483.9328 37.9919 0.001 413.0290 562.8425
opcount 0.0324 0.0006 0.001 0.0312 0.0336
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.8817
coef (ms) 0.08001
p-value 1.00e-03
95% CI [0.07584, 0.08346]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.881
No. Observations: 198 RMSE: 596.91
Df Residuals: 196 MAE: 519.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 931.9888 149.3941 0.001 666.5947 1229.4808
opcount 0.0800 0.0020 0.001 0.0758 0.0835
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 33
R² 0.982
coef (ms) 0.01818
p-value 1.00e-03
95% CI [0.01717, 0.01911]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.981
No. Observations: 33 RMSE: 50.18
Df Residuals: 31 MAE: 44.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 147.3861 36.4201 0.001 82.1866 224.6019
opcount 0.0182 0.0005 0.001 0.0172 0.0191
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 407
R² 0.8696
coef (ms) 0.02355
p-value 1.00e-03
95% CI [0.02256, 0.02454]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 407 RMSE: 185.85
Df Residuals: 405 MAE: 159.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 730.9038 37.1794 0.001 658.9130 804.6875
opcount 0.0236 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 352
R² 0.8027
coef (ms) 0.0192
p-value 1.00e-03
95% CI [0.01808, 0.02029]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.803
Model: NNLS Adj. R-squared: 0.802
No. Observations: 352 RMSE: 193.88
Df Residuals: 350 MAE: 163.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 593.0907 40.7627 0.001 513.9669 672.6323
opcount 0.0192 0.0006 0.001 0.0181 0.0203
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 374
R² 0.8739
coef (ms) 0.01854
p-value 1.00e-03
95% CI [0.01784, 0.01931]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.874
No. Observations: 374 RMSE: 143.46
Df Residuals: 372 MAE: 64.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 277.4556 21.8679 0.001 236.4030 320.0438
opcount 0.0185 0.0004 0.001 0.0178 0.0193
==============================================================================
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 341
R² 0.74
coef (ms) 0.0156
p-value 1.00e-03
95% CI [0.01465, 0.01663]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.740
Model: NNLS Adj. R-squared: 0.739
No. Observations: 341 RMSE: 219.79
Df Residuals: 339 MAE: 202.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 565.6662 35.3213 0.001 497.3193 632.9689
opcount 0.0156 0.0005 0.001 0.0146 0.0166
==============================================================================
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 198
R² 0.9686
coef (ms) 0.008768
p-value 1.00e-03
95% CI [0.008549, 0.008916]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.968
No. Observations: 198 RMSE: 37.51
Df Residuals: 196 MAE: 32.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.4363 6.2302 0.217 0.0000 20.1663
opcount 0.0088 0.0001 0.001 0.0085 0.0089
==============================================================================
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 33
R² 0.9893
coef (ms) 0.002741
p-value 1.00e-03
95% CI [0.002659, 0.002822]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 33 RMSE: 6.77
Df Residuals: 31 MAE: 5.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6771 2.7047 0.049 0.0000 10.6231
opcount 0.0027 0.0000 0.001 0.0027 0.0028
==============================================================================
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 407
R² 0.8725
coef (ms) 0.02249
p-value 1.00e-03
95% CI [0.02161, 0.02335]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.872
No. Observations: 407 RMSE: 204.38
Df Residuals: 405 MAE: 174.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 770.0028 39.2682 0.001 697.3402 848.1956
opcount 0.0225 0.0005 0.001 0.0216 0.0233
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 352
R² 0.9067
coef (ms) 0.003831
p-value 1.00e-03
95% CI [0.003686, 0.003978]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.906
No. Observations: 352 RMSE: 29.21
Df Residuals: 350 MAE: 19.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 80.2406 4.9617 0.001 70.7178 90.5096
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
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 374
R² 0.965
coef (ms) 0.000928
p-value 1.00e-03
95% CI [0.0009088, 0.0009451]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 374 RMSE: 4.20
Df Residuals: 372 MAE: 3.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.5923 0.7408 0.001 42.1702 45.0947
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · besu
nobs 341
R² 0.7649
coef (ms) 0.0005465
p-value 1.00e-03
95% CI [0.0005122, 0.0005779]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.765
Model: NNLS Adj. R-squared: 0.764
No. Observations: 341 RMSE: 156.87
Df Residuals: 339 MAE: 123.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 713.8496 24.9538 0.001 667.3712 766.5375
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 198
R² 0.9571
coef (ms) 0.0002593
p-value 1.00e-03
95% CI [0.0002517, 0.0002663]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.957
Model: NNLS Adj. R-squared: 0.957
No. Observations: 198 RMSE: 28.43
Df Residuals: 196 MAE: 22.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.3230 6.2340 0.001 24.4338 48.5921
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · ethrex
nobs 33
R² 0.9356
coef (ms) 0.0001007
p-value 1.00e-03
95% CI [9.117e-05, 0.0001107]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.934
No. Observations: 33 RMSE: 13.68
Df Residuals: 31 MAE: 10.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.3371 7.7111 0.001 17.7251 47.8124
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 407
R² 0.9327
coef (ms) 0.0001676
p-value 1.00e-03
95% CI [0.0001629, 0.0001723]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.933
No. Observations: 407 RMSE: 23.30
Df Residuals: 405 MAE: 18.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.9061 3.7175 0.001 35.7361 50.2298
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 352
R² 0.8155
coef (ms) 0.0004444
p-value 1.00e-03
95% CI [0.0004235, 0.0004665]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.815
No. Observations: 352 RMSE: 109.42
Df Residuals: 350 MAE: 80.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 138.4533 17.5613 0.001 103.5961 174.4415
opcount 0.0004 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 374
R² 0.9226
coef (ms) 5.444e-05
p-value 1.00e-03
95% CI [5.301e-05, 5.579e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.922
No. Observations: 374 RMSE: 8.16
Df Residuals: 372 MAE: 6.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.6888 1.2510 0.001 15.3152 20.1031
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 341
R² 0.4005
coef (ms) 0.0003767
p-value 1.00e-03
95% CI [0.0003318, 0.000421]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.400
Model: NNLS Adj. R-squared: 0.399
No. Observations: 341 RMSE: 118.34
Df Residuals: 339 MAE: 91.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 311.7162 20.0610 0.001 273.7618 350.6152
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] · erigon
nobs 198
R² 0.9245
coef (ms) 7.084e-05
p-value 1.00e-03
95% CI [6.833e-05, 7.354e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.924
No. Observations: 198 RMSE: 5.20
Df Residuals: 196 MAE: 3.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.8306 1.0167 0.001 21.9909 25.8043
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 33
R² 0.7292
coef (ms) 3.185e-05
p-value 1.00e-03
95% CI [2.461e-05, 3.879e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.720
No. Observations: 33 RMSE: 4.98
Df Residuals: 31 MAE: 4.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0177 2.8508 0.001 6.9555 18.0709
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 407
R² 0.9525
coef (ms) 0.0003688
p-value 1.00e-03
95% CI [0.0003612, 0.000377]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.952
No. Observations: 407 RMSE: 21.14
Df Residuals: 405 MAE: 16.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.5969 3.1433 0.001 15.5266 27.5522
opcount 0.0004 0.0000 0.001 0.0004 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 352
R² 0.7013
coef (ms) 0.000315
p-value 1.00e-03
95% CI [0.0002931, 0.0003372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.701
Model: NNLS Adj. R-squared: 0.700
No. Observations: 352 RMSE: 52.78
Df Residuals: 350 MAE: 40.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 121.6081 8.2687 0.001 106.5971 138.7003
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 374
R² 0.7291
coef (ms) 2.303e-05
p-value 1.00e-03
95% CI [2.17e-05, 2.466e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.728
No. Observations: 374 RMSE: 3.60
Df Residuals: 372 MAE: 2.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.3855 0.5208 0.001 4.2530 6.3756
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 341
R² 0.5654
coef (ms) 0.002137
p-value 1.00e-03
95% CI [0.001965, 0.002311]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.565
Model: NNLS Adj. R-squared: 0.564
No. Observations: 341 RMSE: 185.10
Df Residuals: 339 MAE: 151.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 492.6882 29.5945 0.001 435.0946 552.2958
opcount 0.0021 0.0001 0.001 0.0020 0.0023
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.9522
coef (ms) 0.0003091
p-value 1.00e-03
95% CI [0.0002993, 0.0003195]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 198 RMSE: 6.84
Df Residuals: 196 MAE: 5.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.8739 1.5375 0.001 31.8857 37.9183
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 33
R² 0.8147
coef (ms) 0.0002295
p-value 1.00e-03
95% CI [0.0001823, 0.0002756]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.815
Model: NNLS Adj. R-squared: 0.809
No. Observations: 33 RMSE: 10.81
Df Residuals: 31 MAE: 7.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4524 7.8709 0.002 4.3273 33.8933
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · geth
nobs 407
R² 0.9355
coef (ms) 0.0007868
p-value 1.00e-03
95% CI [0.0007658, 0.0008082]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.935
No. Observations: 407 RMSE: 20.41
Df Residuals: 405 MAE: 16.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.3693 3.1645 0.001 46.2109 58.9903
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · nethermind
nobs 352
R² 0.8698
coef (ms) 0.001243
p-value 1.00e-03
95% CI [0.001189, 0.001294]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 352 RMSE: 47.49
Df Residuals: 350 MAE: 35.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.9385 8.2090 0.001 150.0381 182.1013
opcount 0.0012 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 374
R² 0.827
coef (ms) 0.0001132
p-value 1.00e-03
95% CI [0.0001085, 0.0001187]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.827
Model: NNLS Adj. R-squared: 0.827
No. Observations: 374 RMSE: 5.12
Df Residuals: 372 MAE: 3.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.8777 0.8173 0.001 8.2424 11.3013
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 341
R² 0.4005
coef (ms) 0.0003767
p-value 1.00e-03
95% CI [0.0003318, 0.000421]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.400
Model: NNLS Adj. R-squared: 0.399
No. Observations: 341 RMSE: 118.34
Df Residuals: 339 MAE: 91.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 311.7162 20.0610 0.001 273.7618 350.6152
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] · erigon
nobs 198
R² 0.9245
coef (ms) 7.084e-05
p-value 1.00e-03
95% CI [6.833e-05, 7.354e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.924
No. Observations: 198 RMSE: 5.20
Df Residuals: 196 MAE: 3.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.8306 1.0167 0.001 21.9909 25.8043
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 33
R² 0.7292
coef (ms) 3.185e-05
p-value 1.00e-03
95% CI [2.461e-05, 3.879e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.720
No. Observations: 33 RMSE: 4.98
Df Residuals: 31 MAE: 4.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.0177 2.8508 0.001 6.9555 18.0709
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 407
R² 0.9525
coef (ms) 0.0003688
p-value 1.00e-03
95% CI [0.0003612, 0.000377]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.952
No. Observations: 407 RMSE: 21.14
Df Residuals: 405 MAE: 16.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.5969 3.1433 0.001 15.5266 27.5522
opcount 0.0004 0.0000 0.001 0.0004 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 352
R² 0.7013
coef (ms) 0.000315
p-value 1.00e-03
95% CI [0.0002931, 0.0003372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.701
Model: NNLS Adj. R-squared: 0.700
No. Observations: 352 RMSE: 52.78
Df Residuals: 350 MAE: 40.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 121.6081 8.2687 0.001 106.5971 138.7003
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 374
R² 0.7291
coef (ms) 2.303e-05
p-value 1.00e-03
95% CI [2.17e-05, 2.466e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.728
No. Observations: 374 RMSE: 3.60
Df Residuals: 372 MAE: 2.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.3855 0.5208 0.001 4.2530 6.3756
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 341
R² 0.7784
coef (ms) 0.01362
p-value 1.00e-03
95% CI [0.01279, 0.01438]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.778
No. Observations: 341 RMSE: 173.65
Df Residuals: 339 MAE: 161.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 532.9087 29.2460 0.001 479.0194 594.8288
opcount 0.0136 0.0004 0.001 0.0128 0.0144
==============================================================================
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 198
R² 0.9619
coef (ms) 0.007859
p-value 1.00e-03
95% CI [0.007701, 0.007934]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 198 RMSE: 37.65
Df Residuals: 196 MAE: 33.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.7087 1.000 0.0000 9.5027
opcount 0.0079 0.0001 0.001 0.0077 0.0079
==============================================================================
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 33
R² 0.9925
coef (ms) 0.002734
p-value 1.00e-03
95% CI [0.002703, 0.002762]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 33 RMSE: 5.80
Df Residuals: 31 MAE: 4.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.4676 1.000 0.0000 1.4821
opcount 0.0027 0.0000 0.001 0.0027 0.0028
==============================================================================
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 407
R² 0.869
coef (ms) 0.02177
p-value 1.00e-03
95% CI [0.0209, 0.02262]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 407 RMSE: 202.03
Df Residuals: 405 MAE: 172.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 768.7265 37.9368 0.001 697.5919 847.2470
opcount 0.0218 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 352
R² 0.9293
coef (ms) 0.003451
p-value 1.00e-03
95% CI [0.003336, 0.003557]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.929
No. Observations: 352 RMSE: 22.75
Df Residuals: 350 MAE: 15.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.3339 4.6492 0.001 69.9506 87.8572
opcount 0.0035 0.0001 0.001 0.0033 0.0036
==============================================================================
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 374
R² 0.9669
coef (ms) 0.0008906
p-value 1.00e-03
95% CI [0.0008724, 0.0009067]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 374 RMSE: 3.94
Df Residuals: 372 MAE: 3.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.9376 0.7047 0.001 41.6917 44.3826
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.8512
coef (ms) 0.02891
p-value 1.00e-03
95% CI [0.02771, 0.03014]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 341 RMSE: 251.44
Df Residuals: 339 MAE: 227.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 538.4011 37.2754 0.001 462.7099 613.8656
opcount 0.0289 0.0006 0.001 0.0277 0.0301
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.9104
coef (ms) 0.03376
p-value 1.00e-03
95% CI [0.03238, 0.0351]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 198 RMSE: 220.40
Df Residuals: 196 MAE: 191.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 257.1232 53.3461 0.001 154.6453 364.6523
opcount 0.0338 0.0007 0.001 0.0324 0.0351
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · ethrex
nobs 33
R² 0.982
coef (ms) 0.01803
p-value 1.00e-03
95% CI [0.01712, 0.01895]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.981
No. Observations: 33 RMSE: 50.85
Df Residuals: 31 MAE: 46.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 146.7922 33.6122 0.001 83.9464 216.3327
opcount 0.0180 0.0005 0.001 0.0171 0.0190
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · geth
nobs 407
R² 0.8681
coef (ms) 0.02318
p-value 1.00e-03
95% CI [0.02221, 0.02411]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 407 RMSE: 187.95
Df Residuals: 405 MAE: 161.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 733.8827 36.3695 0.001 662.2387 808.1040
opcount 0.0232 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 352
R² 0.8218
coef (ms) 0.01858
p-value 1.00e-03
95% CI [0.01763, 0.0195]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.821
No. Observations: 352 RMSE: 180.01
Df Residuals: 350 MAE: 154.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 501.8957 36.5453 0.001 431.9791 575.1987
opcount 0.0186 0.0005 0.001 0.0176 0.0195
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 374
R² 0.882
coef (ms) 0.01817
p-value 1.00e-03
95% CI [0.01751, 0.01894]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 374 RMSE: 138.25
Df Residuals: 372 MAE: 61.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 294.6437 22.8776 0.001 247.9686 337.5573
opcount 0.0182 0.0004 0.001 0.0175 0.0189
==============================================================================
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 341
R² 0.7784
coef (ms) 0.01362
p-value 1.00e-03
95% CI [0.01279, 0.01438]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.778
No. Observations: 341 RMSE: 173.65
Df Residuals: 339 MAE: 161.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 532.9087 29.2460 0.001 479.0194 594.8288
opcount 0.0136 0.0004 0.001 0.0128 0.0144
==============================================================================
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 198
R² 0.9619
coef (ms) 0.007859
p-value 1.00e-03
95% CI [0.007701, 0.007934]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 198 RMSE: 37.65
Df Residuals: 196 MAE: 33.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.7087 1.000 0.0000 9.5027
opcount 0.0079 0.0001 0.001 0.0077 0.0079
==============================================================================
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 33
R² 0.9925
coef (ms) 0.002734
p-value 1.00e-03
95% CI [0.002703, 0.002762]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 33 RMSE: 5.80
Df Residuals: 31 MAE: 4.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.4676 1.000 0.0000 1.4821
opcount 0.0027 0.0000 0.001 0.0027 0.0028
==============================================================================
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 407
R² 0.869
coef (ms) 0.02177
p-value 1.00e-03
95% CI [0.0209, 0.02262]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 407 RMSE: 202.03
Df Residuals: 405 MAE: 172.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 768.7265 37.9368 0.001 697.5919 847.2470
opcount 0.0218 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 352
R² 0.9293
coef (ms) 0.003451
p-value 1.00e-03
95% CI [0.003336, 0.003557]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.929
No. Observations: 352 RMSE: 22.75
Df Residuals: 350 MAE: 15.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.3339 4.6492 0.001 69.9506 87.8572
opcount 0.0035 0.0001 0.001 0.0033 0.0036
==============================================================================
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 374
R² 0.9669
coef (ms) 0.0008906
p-value 1.00e-03
95% CI [0.0008724, 0.0009067]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 374 RMSE: 3.94
Df Residuals: 372 MAE: 3.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.9376 0.7047 0.001 41.6917 44.3826
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · besu
nobs 341
R² 0.4414
coef (ms) 0.0001244
p-value 1.00e-03
95% CI [0.0001101, 0.0001383]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.441
Model: NNLS Adj. R-squared: 0.440
No. Observations: 341 RMSE: 81.82
Df Residuals: 339 MAE: 64.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 300.6498 15.1975 0.001 271.3433 330.4558
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · erigon
nobs 198
R² 0.9477
coef (ms) 0.0002883
p-value 1.00e-03
95% CI [0.000278, 0.0002983]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.947
No. Observations: 198 RMSE: 39.60
Df Residuals: 196 MAE: 27.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.8143 8.3393 0.002 14.2185 46.4495
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 33
R² 0.6928
coef (ms) 1.587e-05
p-value 1.00e-03
95% CI [1.209e-05, 1.969e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.693
Model: NNLS Adj. R-squared: 0.683
No. Observations: 33 RMSE: 6.18
Df Residuals: 31 MAE: 4.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.3653 3.2348 0.014 0.7138 13.7861
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 407
R² 0.8622
coef (ms) 4.298e-05
p-value 1.00e-03
95% CI [4.148e-05, 4.45e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.862
No. Observations: 407 RMSE: 10.05
Df Residuals: 405 MAE: 7.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.1104 1.3511 0.001 16.5208 21.7738
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 352
R² 0.7262
coef (ms) 0.0002535
p-value 1.00e-03
95% CI [0.0002375, 0.00027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.726
Model: NNLS Adj. R-squared: 0.725
No. Observations: 352 RMSE: 91.03
Df Residuals: 350 MAE: 65.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 139.9553 13.8013 0.001 112.9731 167.4591
opcount 0.0003 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 374
R² 0.7716
coef (ms) 1.01e-05
p-value 1.00e-03
95% CI [9.574e-06, 1.07e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.771
No. Observations: 374 RMSE: 3.21
Df Residuals: 372 MAE: 2.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.9196 0.5044 0.001 4.9000 6.7992
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 341
R² 0.7469
coef (ms) 0.01337
p-value 1.00e-03
95% CI [0.01248, 0.01421]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.747
Model: NNLS Adj. R-squared: 0.746
No. Observations: 341 RMSE: 186.00
Df Residuals: 339 MAE: 168.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 552.3870 30.1836 0.001 492.9162 610.3826
opcount 0.0134 0.0004 0.001 0.0125 0.0142
==============================================================================
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 198
R² 0.9659
coef (ms) 0.008072
p-value 1.00e-03
95% CI [0.007894, 0.008146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 198 RMSE: 36.40
Df Residuals: 196 MAE: 32.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.9629 1.000 0.0000 10.5823
opcount 0.0081 0.0001 0.001 0.0079 0.0081
==============================================================================
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 33
R² 0.9921
coef (ms) 0.002716
p-value 1.00e-03
95% CI [0.002637, 0.002743]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 33 RMSE: 5.79
Df Residuals: 31 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.4424 2.0192 0.443 0.0000 6.8657
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 407
R² 0.8702
coef (ms) 0.02171
p-value 1.00e-03
95% CI [0.02083, 0.0226]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 407 RMSE: 200.37
Df Residuals: 405 MAE: 172.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 775.0426 38.3296 0.001 702.9129 848.5571
opcount 0.0217 0.0004 0.001 0.0208 0.0226
==============================================================================
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 352
R² 0.8847
coef (ms) 0.003441
p-value 1.00e-03
95% CI [0.003352, 0.003544]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.884
No. Observations: 352 RMSE: 29.70
Df Residuals: 350 MAE: 16.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.7228 3.3258 0.001 71.1002 84.1007
opcount 0.0034 0.0000 0.001 0.0034 0.0035
==============================================================================
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 374
R² 0.9579
coef (ms) 0.0008856
p-value 1.00e-03
95% CI [0.0008684, 0.0009035]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 374 RMSE: 4.44
Df Residuals: 372 MAE: 3.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.1571 0.7312 0.001 41.7209 44.6331
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.8603
coef (ms) 0.02927
p-value 1.00e-03
95% CI [0.02817, 0.03039]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.860
No. Observations: 341 RMSE: 245.37
Df Residuals: 339 MAE: 223.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 511.9077 34.8136 0.001 442.8237 575.5314
opcount 0.0293 0.0006 0.001 0.0282 0.0304
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.8817
coef (ms) 0.07922
p-value 1.00e-03
95% CI [0.07527, 0.08281]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.881
No. Observations: 198 RMSE: 603.66
Df Residuals: 196 MAE: 525.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 958.3304 149.7769 0.001 684.5300 1269.3473
opcount 0.0792 0.0020 0.001 0.0753 0.0828
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 33
R² 0.9825
coef (ms) 0.01807
p-value 1.00e-03
95% CI [0.01709, 0.01899]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 33 RMSE: 50.22
Df Residuals: 31 MAE: 45.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 146.1984 36.6621 0.001 79.5989 222.8084
opcount 0.0181 0.0005 0.001 0.0171 0.0190
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · geth
nobs 407
R² 0.8679
coef (ms) 0.02321
p-value 1.00e-03
95% CI [0.02217, 0.02408]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 407 RMSE: 188.38
Df Residuals: 405 MAE: 161.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 739.1727 36.3776 0.001 674.3136 817.5738
opcount 0.0232 0.0005 0.001 0.0222 0.0241
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 352
R² 0.8244
coef (ms) 0.01861
p-value 1.00e-03
95% CI [0.01765, 0.01966]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 352 RMSE: 178.68
Df Residuals: 350 MAE: 150.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 487.0758 37.0849 0.001 412.4580 556.5205
opcount 0.0186 0.0005 0.001 0.0177 0.0197
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 374
R² 0.9055
coef (ms) 0.01789
p-value 1.00e-03
95% CI [0.0174, 0.01849]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.906
Model: NNLS Adj. R-squared: 0.905
No. Observations: 374 RMSE: 120.22
Df Residuals: 372 MAE: 55.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 309.7616 19.4111 0.001 269.6726 347.7569
opcount 0.0179 0.0003 0.001 0.0174 0.0185
==============================================================================
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 341
R² 0.7469
coef (ms) 0.01337
p-value 1.00e-03
95% CI [0.01248, 0.01421]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.747
Model: NNLS Adj. R-squared: 0.746
No. Observations: 341 RMSE: 186.00
Df Residuals: 339 MAE: 168.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 552.3870 30.1836 0.001 492.9162 610.3826
opcount 0.0134 0.0004 0.001 0.0125 0.0142
==============================================================================
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 198
R² 0.9659
coef (ms) 0.008072
p-value 1.00e-03
95% CI [0.007894, 0.008146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 198 RMSE: 36.40
Df Residuals: 196 MAE: 32.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.9629 1.000 0.0000 10.5823
opcount 0.0081 0.0001 0.001 0.0079 0.0081
==============================================================================
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 33
R² 0.9921
coef (ms) 0.002716
p-value 1.00e-03
95% CI [0.002637, 0.002743]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 33 RMSE: 5.79
Df Residuals: 31 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.4424 2.0192 0.443 0.0000 6.8657
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 407
R² 0.8702
coef (ms) 0.02171
p-value 1.00e-03
95% CI [0.02083, 0.0226]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 407 RMSE: 200.37
Df Residuals: 405 MAE: 172.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 775.0426 38.3296 0.001 702.9129 848.5571
opcount 0.0217 0.0004 0.001 0.0208 0.0226
==============================================================================
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 352
R² 0.8847
coef (ms) 0.003441
p-value 1.00e-03
95% CI [0.003352, 0.003544]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.884
No. Observations: 352 RMSE: 29.70
Df Residuals: 350 MAE: 16.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 77.7228 3.3258 0.001 71.1002 84.1007
opcount 0.0034 0.0000 0.001 0.0034 0.0035
==============================================================================
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 374
R² 0.9579
coef (ms) 0.0008856
p-value 1.00e-03
95% CI [0.0008684, 0.0009035]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 374 RMSE: 4.44
Df Residuals: 372 MAE: 3.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.1571 0.7312 0.001 41.7209 44.6331
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · besu
nobs 341
R² 0.441
coef (ms) 0.0001235
p-value 1.00e-03
95% CI [0.0001098, 0.000138]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.441
Model: NNLS Adj. R-squared: 0.439
No. Observations: 341 RMSE: 81.30
Df Residuals: 339 MAE: 61.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 299.3473 14.6089 0.001 269.8172 329.1325
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · erigon
nobs 198
R² 0.9182
coef (ms) 4.433e-05
p-value 1.00e-03
95% CI [4.238e-05, 4.673e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 198 RMSE: 7.73
Df Residuals: 196 MAE: 5.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.8014 1.7852 0.001 21.0008 27.9899
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 · ethrex
nobs 33
R² 0.7878
coef (ms) 1.574e-05
p-value 1.00e-03
95% CI [1.289e-05, 1.907e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.788
Model: NNLS Adj. R-squared: 0.781
No. Observations: 33 RMSE: 4.78
Df Residuals: 31 MAE: 3.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.1134 2.4578 0.006 2.0716 11.9252
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 407
R² 0.849
coef (ms) 3.108e-05
p-value 1.00e-03
95% CI [2.984e-05, 3.232e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.849
No. Observations: 407 RMSE: 7.66
Df Residuals: 405 MAE: 5.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.8190 1.1366 0.001 18.6297 23.1866
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 352
R² 0.7607
coef (ms) 0.0001684
p-value 1.00e-03
95% CI [0.000157, 0.0001787]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.761
Model: NNLS Adj. R-squared: 0.760
No. Observations: 352 RMSE: 55.23
Df Residuals: 350 MAE: 42.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 113.8026 9.0301 0.001 96.9686 132.0520
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 374
R² 0.6589
coef (ms) 7.272e-06
p-value 1.00e-03
95% CI [6.705e-06, 7.865e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.659
Model: NNLS Adj. R-squared: 0.658
No. Observations: 374 RMSE: 3.06
Df Residuals: 372 MAE: 2.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.4110 0.5222 0.001 4.3892 6.4545
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 341
R² 0.7551
coef (ms) 0.01688
p-value 1.00e-03
95% CI [0.01587, 0.01786]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.755
Model: NNLS Adj. R-squared: 0.754
No. Observations: 341 RMSE: 228.48
Df Residuals: 339 MAE: 205.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 736.7133 37.6741 0.001 666.0963 809.6121
opcount 0.0169 0.0005 0.001 0.0159 0.0179
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 198
R² 0.9759
coef (ms) 0.009458
p-value 1.00e-03
95% CI [0.009255, 0.009692]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 198 RMSE: 35.33
Df Residuals: 196 MAE: 30.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.2298 7.1238 0.004 5.1563 33.8178
opcount 0.0095 0.0001 0.001 0.0093 0.0097
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · ethrex
nobs 33
R² 0.9804
coef (ms) 0.01771
p-value 1.00e-03
95% CI [0.01678, 0.01874]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 33 RMSE: 59.51
Df Residuals: 31 MAE: 53.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 164.9145 42.2339 0.001 82.1082 251.1842
opcount 0.0177 0.0005 0.001 0.0168 0.0187
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · geth
nobs 407
R² 0.9431
coef (ms) 0.01097
p-value 1.00e-03
95% CI [0.01066, 0.01131]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.943
Model: NNLS Adj. R-squared: 0.943
No. Observations: 407 RMSE: 64.07
Df Residuals: 405 MAE: 51.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 463.4220 14.6134 0.001 433.9057 490.6863
opcount 0.0110 0.0002 0.001 0.0107 0.0113
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 352
R² 0.9519
coef (ms) 0.003894
p-value 1.00e-03
95% CI [0.003804, 0.003987]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 352 RMSE: 20.80
Df Residuals: 350 MAE: 16.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 85.5219 3.5925 0.001 78.2710 92.4746
opcount 0.0039 0.0000 0.001 0.0038 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 374
R² 0.9473
coef (ms) 0.001275
p-value 1.00e-03
95% CI [0.001242, 0.001308]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.947
No. Observations: 374 RMSE: 7.15
Df Residuals: 372 MAE: 5.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.1092 1.1783 0.001 38.8581 43.3886
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
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 341
R² 0.7701
coef (ms) 0.01667
p-value 1.00e-03
95% CI [0.01567, 0.01767]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 341 RMSE: 216.56
Df Residuals: 339 MAE: 197.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 581.0905 34.9900 0.001 511.3925 649.2314
opcount 0.0167 0.0005 0.001 0.0157 0.0177
==============================================================================
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 198
R² 0.9803
coef (ms) 0.01098
p-value 1.00e-03
95% CI [0.01091, 0.01107]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 198 RMSE: 37.58
Df Residuals: 196 MAE: 31.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.4304 1.000 0.0000 0.2708
opcount 0.0110 0.0000 0.001 0.0109 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 33
R² 0.9941
coef (ms) 0.002715
p-value 1.00e-03
95% CI [0.002639, 0.002784]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 33 RMSE: 4.98
Df Residuals: 31 MAE: 3.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6984 2.7022 0.040 0.0000 10.3523
opcount 0.0027 0.0000 0.001 0.0026 0.0028
==============================================================================
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 407
R² 0.8703
coef (ms) 0.02276
p-value 1.00e-03
95% CI [0.02179, 0.02374]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 407 RMSE: 208.83
Df Residuals: 405 MAE: 178.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 782.9272 41.7321 0.001 702.6683 866.0902
opcount 0.0228 0.0005 0.001 0.0218 0.0237
==============================================================================
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 352
R² 0.9071
coef (ms) 0.003951
p-value 1.00e-03
95% CI [0.003829, 0.004092]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 352 RMSE: 30.05
Df Residuals: 350 MAE: 19.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.6258 4.2694 0.001 64.7825 81.7952
opcount 0.0040 0.0001 0.001 0.0038 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 374
R² 0.9674
coef (ms) 0.0009433
p-value 1.00e-03
95% CI [0.0009252, 0.0009628]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 374 RMSE: 4.12
Df Residuals: 372 MAE: 3.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.6005 0.7315 0.001 42.1429 45.0797
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.8879
coef (ms) 0.03157
p-value 1.00e-03
95% CI [0.03042, 0.03274]
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: 228.51
Df Residuals: 339 MAE: 206.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 541.7771 37.0142 0.001 472.7599 619.1147
opcount 0.0316 0.0006 0.001 0.0304 0.0327
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.8817
coef (ms) 0.08015
p-value 1.00e-03
95% CI [0.07588, 0.08372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.881
No. Observations: 198 RMSE: 598.07
Df Residuals: 196 MAE: 520.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 933.6757 153.1360 0.001 654.4536 1261.2953
opcount 0.0801 0.0020 0.001 0.0759 0.0837
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 33
R² 0.9831
coef (ms) 0.01827
p-value 1.00e-03
95% CI [0.01738, 0.01924]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 33 RMSE: 48.74
Df Residuals: 31 MAE: 43.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 140.6873 33.1010 0.001 78.2079 206.9229
opcount 0.0183 0.0005 0.001 0.0174 0.0192
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 407
R² 0.8688
coef (ms) 0.02356
p-value 1.00e-03
95% CI [0.02261, 0.02452]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.868
No. Observations: 407 RMSE: 186.49
Df Residuals: 405 MAE: 160.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 735.0127 35.7102 0.001 663.1986 806.2933
opcount 0.0236 0.0005 0.001 0.0226 0.0245
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 352
R² 0.8108
coef (ms) 0.01919
p-value 1.00e-03
95% CI [0.01809, 0.02027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.811
Model: NNLS Adj. R-squared: 0.810
No. Observations: 352 RMSE: 188.81
Df Residuals: 350 MAE: 158.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 585.3190 40.5464 0.001 511.1686 663.7349
opcount 0.0192 0.0006 0.001 0.0181 0.0203
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 374
R² 0.8517
coef (ms) 0.01776
p-value 1.00e-03
95% CI [0.01713, 0.0184]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.852
Model: NNLS Adj. R-squared: 0.851
No. Observations: 374 RMSE: 150.96
Df Residuals: 372 MAE: 73.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 333.9276 22.4415 0.001 291.6097 382.3395
opcount 0.0178 0.0003 0.001 0.0171 0.0184
==============================================================================
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 341
R² 0.7701
coef (ms) 0.01667
p-value 1.00e-03
95% CI [0.01567, 0.01767]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 341 RMSE: 216.56
Df Residuals: 339 MAE: 197.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 581.0905 34.9900 0.001 511.3925 649.2314
opcount 0.0167 0.0005 0.001 0.0157 0.0177
==============================================================================
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 198
R² 0.9803
coef (ms) 0.01098
p-value 1.00e-03
95% CI [0.01091, 0.01107]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 198 RMSE: 37.58
Df Residuals: 196 MAE: 31.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.4304 1.000 0.0000 0.2708
opcount 0.0110 0.0000 0.001 0.0109 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 33
R² 0.9941
coef (ms) 0.002715
p-value 1.00e-03
95% CI [0.002639, 0.002784]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 33 RMSE: 4.98
Df Residuals: 31 MAE: 3.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6984 2.7022 0.040 0.0000 10.3523
opcount 0.0027 0.0000 0.001 0.0026 0.0028
==============================================================================
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 407
R² 0.8703
coef (ms) 0.02276
p-value 1.00e-03
95% CI [0.02179, 0.02374]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 407 RMSE: 208.83
Df Residuals: 405 MAE: 178.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 782.9272 41.7321 0.001 702.6683 866.0902
opcount 0.0228 0.0005 0.001 0.0218 0.0237
==============================================================================
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 352
R² 0.9071
coef (ms) 0.003951
p-value 1.00e-03
95% CI [0.003829, 0.004092]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 352 RMSE: 30.05
Df Residuals: 350 MAE: 19.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 73.6258 4.2694 0.001 64.7825 81.7952
opcount 0.0040 0.0001 0.001 0.0038 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 374
R² 0.9674
coef (ms) 0.0009433
p-value 1.00e-03
95% CI [0.0009252, 0.0009628]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 374 RMSE: 4.12
Df Residuals: 372 MAE: 3.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.6005 0.7315 0.001 42.1429 45.0797
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · besu
nobs 341
R² 0.7686
coef (ms) 0.000533
p-value 1.00e-03
95% CI [0.0005016, 0.0005621]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.769
Model: NNLS Adj. R-squared: 0.768
No. Observations: 341 RMSE: 151.39
Df Residuals: 339 MAE: 120.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 698.2429 24.8270 0.001 651.0033 746.8877
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · erigon
nobs 198
R² 0.9846
coef (ms) 0.0005613
p-value 1.00e-03
95% CI [0.0005523, 0.0005696]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 198 RMSE: 36.33
Df Residuals: 196 MAE: 26.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.5140 7.7626 0.001 32.7835 63.2470
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · ethrex
nobs 33
R² 0.9233
coef (ms) 9.223e-05
p-value 1.00e-03
95% CI [8.299e-05, 0.0001012]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.921
No. Observations: 33 RMSE: 13.76
Df Residuals: 31 MAE: 11.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.4178 7.5714 0.001 32.0863 62.1045
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 407
R² 0.9414
coef (ms) 0.000193
p-value 1.00e-03
95% CI [0.0001884, 0.0001974]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.941
Model: NNLS Adj. R-squared: 0.941
No. Observations: 407 RMSE: 24.94
Df Residuals: 405 MAE: 19.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.5315 3.5846 0.001 46.7241 61.0366
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 352
R² 0.7666
coef (ms) 0.0003753
p-value 1.00e-03
95% CI [0.0003532, 0.0003966]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.767
Model: NNLS Adj. R-squared: 0.766
No. Observations: 352 RMSE: 107.21
Df Residuals: 350 MAE: 78.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 189.7483 16.8803 0.001 157.4877 222.9170
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · reth
nobs 374
R² 0.9172
coef (ms) 5.308e-05
p-value 1.00e-03
95% CI [5.144e-05, 5.473e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.917
Model: NNLS Adj. R-squared: 0.917
No. Observations: 374 RMSE: 8.26
Df Residuals: 372 MAE: 6.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.6032 1.3840 0.001 16.9610 22.5115
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================