Runtime model results
Per-spec NNLS fits of test runtime against opcode count — one block per (target opcode, test, model combo, client). Use the filters to narrow to a single opcode or client.
SLOAD · test_sload_bloated · combo False · besu
nobs 418
R² 0.8773
coef (ms) 0.007467
p-value 1.00e-03
95% CI [0.007212, 0.007728]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.877
No. Observations: 418 RMSE: 82.20
Df Residuals: 416 MAE: 67.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 138.3946 11.4055 0.001 116.0730 160.8161
opcount 0.0075 0.0001 0.001 0.0072 0.0077
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo False · erigon
nobs 198
R² 0.9613
coef (ms) 0.007472
p-value 1.00e-03
95% CI [0.007394, 0.007543]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.961
Model: NNLS Adj. R-squared: 0.961
No. Observations: 198 RMSE: 45.07
Df Residuals: 196 MAE: 36.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.9182 1.000 0.0000 2.3324
opcount 0.0075 0.0000 0.001 0.0074 0.0075
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo False · ethrex
nobs 275
R² 0.9102
coef (ms) 0.008898
p-value 1.00e-03
95% CI [0.008763, 0.009027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 275 RMSE: 105.86
Df Residuals: 273 MAE: 91.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0089 0.0001 0.001 0.0088 0.0090
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo False · geth
nobs 264
R² 0.9761
coef (ms) 0.02429
p-value 1.00e-03
95% CI [0.02379, 0.02476]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 264 RMSE: 111.95
Df Residuals: 262 MAE: 89.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 512.5797 22.1662 0.001 471.2553 558.6151
opcount 0.0243 0.0003 0.001 0.0238 0.0248
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo False · nethermind
nobs 165
R² 0.9374
coef (ms) 0.003145
p-value 1.00e-03
95% CI [0.003034, 0.003257]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.937
Model: NNLS Adj. R-squared: 0.937
No. Observations: 165 RMSE: 23.91
Df Residuals: 163 MAE: 17.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.7378 5.3166 0.001 63.6594 85.1918
opcount 0.0031 0.0001 0.001 0.0030 0.0033
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo True · besu
nobs 418
R² 0.9588
coef (ms) 0.01441
p-value 1.00e-03
95% CI [0.0141, 0.0147]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.959
Model: NNLS Adj. R-squared: 0.959
No. Observations: 418 RMSE: 87.97
Df Residuals: 416 MAE: 70.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 332.8525 12.8372 0.001 309.2996 359.1470
opcount 0.0144 0.0002 0.001 0.0141 0.0147
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo True · erigon
nobs 198
R² 0.9714
coef (ms) 0.007144
p-value 1.00e-03
95% CI [0.00708, 0.007205]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 198 RMSE: 37.20
Df Residuals: 196 MAE: 31.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.1873 1.000 0.0000 0.0000
opcount 0.0071 0.0000 0.001 0.0071 0.0072
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo True · ethrex
nobs 275
R² 0.9521
coef (ms) 0.01316
p-value 1.00e-03
95% CI [0.01302, 0.01328]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 275 RMSE: 103.68
Df Residuals: 273 MAE: 89.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0132 0.0001 0.001 0.0130 0.0133
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo True · geth
nobs 264
R² 0.9733
coef (ms) 0.02335
p-value 1.00e-03
95% CI [0.02288, 0.02381]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 264 RMSE: 113.79
Df Residuals: 262 MAE: 92.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 512.1936 20.9232 0.001 472.7463 554.1709
opcount 0.0233 0.0002 0.001 0.0229 0.0238
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_sload_bloated · combo True · nethermind
nobs 165
R² 0.902
coef (ms) 0.008605
p-value 1.00e-03
95% CI [0.008222, 0.009]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.902
Model: NNLS Adj. R-squared: 0.901
No. Observations: 165 RMSE: 83.47
Df Residuals: 163 MAE: 56.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 127.9320 18.1187 0.001 91.8148 163.7466
opcount 0.0086 0.0002 0.001 0.0082 0.0090
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SLOAD · test_storage_sload_same_key_benchmark · besu
nobs 836
R² 0.295
coef (ms) 6.589e-05
p-value 1.00e-03
95% CI [5.972e-05, 7.274e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.295
Model: NNLS Adj. R-squared: 0.294
No. Observations: 836 RMSE: 64.33
Df Residuals: 834 MAE: 48.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 134.8648 6.6666 0.001 121.6675 147.2847
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 0.907
coef (ms) 5.456e-05
p-value 1.00e-03
95% CI [5.281e-05, 5.628e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 396 RMSE: 11.04
Df Residuals: 394 MAE: 8.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.5493 1.5591 0.001 21.6377 27.8983
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 · ethrex
nobs 550
R² 0.6801
coef (ms) 2.162e-05
p-value 1.00e-03
95% CI [2.03e-05, 2.302e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.680
Model: NNLS Adj. R-squared: 0.679
No. Observations: 550 RMSE: 9.37
Df Residuals: 548 MAE: 6.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.1915 1.5434 0.001 17.1487 23.3354
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 528
R² 0.7984
coef (ms) 4.305e-05
p-value 1.00e-03
95% CI [4.121e-05, 4.494e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.798
No. Observations: 528 RMSE: 13.66
Df Residuals: 526 MAE: 10.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.6852 1.7338 0.001 26.3077 33.0795
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 330
R² 0.6757
coef (ms) 0.0001583
p-value 1.00e-03
95% CI [0.0001466, 0.0001709]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.676
Model: NNLS Adj. R-squared: 0.675
No. Observations: 330 RMSE: 69.26
Df Residuals: 328 MAE: 50.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 159.3762 12.4574 0.001 133.5492 183.0661
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · besu
nobs 418
R² 0.743
coef (ms) 0.008261
p-value 1.00e-03
95% CI [0.007827, 0.008682]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.743
Model: NNLS Adj. R-squared: 0.742
No. Observations: 418 RMSE: 137.29
Df Residuals: 416 MAE: 107.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 317.3321 17.7711 0.001 285.3510 350.5218
opcount 0.0083 0.0002 0.001 0.0078 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 198
R² 0.9703
coef (ms) 0.007512
p-value 1.00e-03
95% CI [0.007434, 0.00757]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 198 RMSE: 37.68
Df Residuals: 196 MAE: 31.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.9727 1.000 0.0000 3.1537
opcount 0.0075 0.0000 0.001 0.0074 0.0076
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · ethrex
nobs 275
R² 0.9398
coef (ms) 0.009459
p-value 1.00e-03
95% CI [0.009343, 0.009568]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.940
No. Observations: 275 RMSE: 81.62
Df Residuals: 273 MAE: 70.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0095 0.0001 0.001 0.0093 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 264
R² 0.9766
coef (ms) 0.02368
p-value 1.00e-03
95% CI [0.02321, 0.02413]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.976
No. Observations: 264 RMSE: 103.60
Df Residuals: 262 MAE: 84.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 555.8028 21.0061 0.001 514.7575 594.3530
opcount 0.0237 0.0002 0.001 0.0232 0.0241
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 165
R² 0.9173
coef (ms) 0.00312
p-value 1.00e-03
95% CI [0.002948, 0.003268]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.917
Model: NNLS Adj. R-squared: 0.917
No. Observations: 165 RMSE: 26.48
Df Residuals: 163 MAE: 20.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.3565 6.6703 0.001 57.6191 83.7958
opcount 0.0031 0.0001 0.001 0.0029 0.0033
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · besu
nobs 418
R² 0.9138
coef (ms) 0.01522
p-value 1.00e-03
95% CI [0.01469, 0.01566]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 418 RMSE: 132.11
Df Residuals: 416 MAE: 103.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 409.9494 19.2954 0.001 374.0797 449.9140
opcount 0.0152 0.0002 0.001 0.0147 0.0157
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 198
R² 0.9727
coef (ms) 0.007243
p-value 1.00e-03
95% CI [0.007188, 0.007299]
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: 35.05
Df Residuals: 196 MAE: 29.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.6466 1.000 0.0000 0.0000
opcount 0.0072 0.0000 0.001 0.0072 0.0073
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · ethrex
nobs 275
R² 0.9718
coef (ms) 0.01388
p-value 1.00e-03
95% CI [0.01377, 0.01399]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 275 RMSE: 75.56
Df Residuals: 273 MAE: 63.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0139 0.0001 0.001 0.0138 0.0140
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 264
R² 0.9734
coef (ms) 0.02334
p-value 1.00e-03
95% CI [0.02289, 0.02381]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 264 RMSE: 108.99
Df Residuals: 262 MAE: 88.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 515.8015 21.2005 0.001 476.1640 555.9186
opcount 0.0233 0.0002 0.001 0.0229 0.0238
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · nethermind
nobs 165
R² 0.8905
coef (ms) 0.008914
p-value 1.00e-03
95% CI [0.00847, 0.009417]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.890
Model: NNLS Adj. R-squared: 0.890
No. Observations: 165 RMSE: 88.35
Df Residuals: 163 MAE: 55.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.0900 19.6233 0.001 55.1629 131.7742
opcount 0.0089 0.0002 0.001 0.0085 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · besu
nobs 418
R² 0.9271
coef (ms) 0.1269
p-value 1.00e-03
95% CI [0.1238, 0.1303]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 418 RMSE: 21.85
Df Residuals: 416 MAE: 16.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.6349 3.3672 0.001 66.2052 78.8460
opcount 0.1269 0.0017 0.001 0.1238 0.1303
==============================================================================
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
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0.02119]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.005
No. Observations: 198 RMSE: 256.74
Df Residuals: 196 MAE: 160.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 559.4027 26.3020 0.001 484.3403 596.1349
opcount 0.0000 0.0067 1.000 0.0000 0.0212
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · ethrex
nobs 275
R² 0.4345
coef (ms) 0.01953
p-value 1.00e-03
95% CI [0.01713, 0.02188]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.434
Model: NNLS Adj. R-squared: 0.432
No. Observations: 275 RMSE: 13.68
Df Residuals: 273 MAE: 10.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 295.9868 2.6233 0.001 291.1597 301.2986
opcount 0.0195 0.0013 0.001 0.0171 0.0219
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · geth
nobs 264
R² 0.9458
coef (ms) 0.1305
p-value 1.00e-03
95% CI [0.1263, 0.1347]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.946
No. Observations: 264 RMSE: 19.20
Df Residuals: 262 MAE: 14.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.4086 4.1312 0.001 68.2323 84.6000
opcount 0.1305 0.0021 0.001 0.1263 0.1347
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 165
R² 0.5354
coef (ms) 0.06329
p-value 1.00e-03
95% CI [0.05413, 0.07298]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.535
Model: NNLS Adj. R-squared: 0.533
No. Observations: 165 RMSE: 36.21
Df Residuals: 163 MAE: 27.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 117.8893 8.5517 0.001 100.2387 134.6215
opcount 0.0633 0.0048 0.001 0.0541 0.0730
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 418
R² 0.956
coef (ms) 0.07545
p-value 1.00e-03
95% CI [0.07397, 0.077]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 418 RMSE: 202.72
Df Residuals: 416 MAE: 161.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 727.9736 27.3407 0.001 674.6410 780.3158
opcount 0.0755 0.0008 0.001 0.0740 0.0770
==============================================================================
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 0.9892
coef (ms) 0.1206
p-value 1.00e-03
95% CI [0.1187, 0.1226]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 198 RMSE: 157.51
Df Residuals: 196 MAE: 124.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 500.4452 33.6872 0.001 430.5505 561.9392
opcount 0.1206 0.0010 0.001 0.1187 0.1226
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · ethrex
nobs 275
R² 0.997
coef (ms) 0.02426
p-value 1.00e-03
95% CI [0.0241, 0.02442]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 275 RMSE: 16.59
Df Residuals: 273 MAE: 12.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 355.2889 3.2988 0.001 349.1763 361.9491
opcount 0.0243 0.0001 0.001 0.0241 0.0244
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 264
R² 0.9864
coef (ms) 0.09319
p-value 1.00e-03
95% CI [0.09188, 0.09443]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 264 RMSE: 136.87
Df Residuals: 262 MAE: 114.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 631.9758 25.7023 0.001 583.8803 682.2950
opcount 0.0932 0.0007 0.001 0.0919 0.0944
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 165
R² 0.849
coef (ms) 0.04138
p-value 1.00e-03
95% CI [0.03862, 0.04392]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 165 RMSE: 218.56
Df Residuals: 163 MAE: 168.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 927.3129 54.1781 0.001 823.6438 1036.6882
opcount 0.0414 0.0014 0.001 0.0386 0.0439
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 418
R² 0.8176
coef (ms) 0.01246
p-value 1.00e-03
95% CI [0.01189, 0.01306]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.818
Model: NNLS Adj. R-squared: 0.817
No. Observations: 418 RMSE: 140.69
Df Residuals: 416 MAE: 120.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 552.2281 21.1333 0.001 509.2783 593.0690
opcount 0.0125 0.0003 0.001 0.0119 0.0131
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 198
R² 0.9658
coef (ms) 0.009994
p-value 1.00e-03
95% CI [0.009728, 0.0101]
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: 44.93
Df Residuals: 196 MAE: 38.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.2359 6.9018 0.372 0.0000 23.2032
opcount 0.0100 0.0001 0.001 0.0097 0.0101
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · ethrex
nobs 275
R² 0.9934
coef (ms) 0.00722
p-value 1.00e-03
95% CI [0.007145, 0.007298]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 275 RMSE: 14.08
Df Residuals: 273 MAE: 10.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.7432 2.7581 0.001 37.2714 48.3094
opcount 0.0072 0.0000 0.001 0.0071 0.0073
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 264
R² 0.9025
coef (ms) 0.0107
p-value 1.00e-03
95% CI [0.01019, 0.01116]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.902
Model: NNLS Adj. R-squared: 0.902
No. Observations: 264 RMSE: 84.09
Df Residuals: 262 MAE: 70.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 408.1318 20.6228 0.001 368.7555 451.0042
opcount 0.0107 0.0002 0.001 0.0102 0.0112
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 165
R² 0.9218
coef (ms) 0.003603
p-value 1.00e-03
95% CI [0.003445, 0.003755]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.922
Model: NNLS Adj. R-squared: 0.921
No. Observations: 165 RMSE: 25.08
Df Residuals: 163 MAE: 19.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.0648 5.5917 0.001 93.2279 115.3614
opcount 0.0036 0.0001 0.001 0.0034 0.0038
==============================================================================
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 418
R² 0.8476
coef (ms) 0.01284
p-value 1.00e-03
95% CI [0.01234, 0.01336]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.847
No. Observations: 418 RMSE: 130.11
Df Residuals: 416 MAE: 111.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.5646 18.1529 0.001 183.6296 256.3769
opcount 0.0128 0.0003 0.001 0.0123 0.0134
==============================================================================
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 0.9603
coef (ms) 0.008939
p-value 1.00e-03
95% CI [0.008844, 0.009035]
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: 44.27
Df Residuals: 196 MAE: 35.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.7002 1.000 0.0000 1.6436
opcount 0.0089 0.0000 0.001 0.0088 0.0090
==============================================================================
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 275
R² 0.9668
coef (ms) 0.002006
p-value 1.00e-03
95% CI [0.001965, 0.002047]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 275 RMSE: 8.88
Df Residuals: 273 MAE: 7.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.6459 1.6632 0.001 23.4555 30.0075
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 264
R² 0.8673
coef (ms) 0.02147
p-value 1.00e-03
95% CI [0.0203, 0.02251]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 264 RMSE: 200.70
Df Residuals: 262 MAE: 171.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 691.9282 49.3549 0.001 599.5712 790.3568
opcount 0.0215 0.0006 0.001 0.0203 0.0225
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 165
R² 0.9317
coef (ms) 0.0032
p-value 1.00e-03
95% CI [0.003061, 0.003345]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.931
No. Observations: 165 RMSE: 20.71
Df Residuals: 163 MAE: 16.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.7288 5.3014 0.001 82.3145 102.3969
opcount 0.0032 0.0001 0.001 0.0031 0.0033
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 418
R² 0.8822
coef (ms) 0.02577
p-value 1.00e-03
95% CI [0.02498, 0.02661]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 418 RMSE: 195.87
Df Residuals: 416 MAE: 160.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 401.6141 28.8817 0.001 342.6719 456.3507
opcount 0.0258 0.0004 0.001 0.0250 0.0266
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.929
coef (ms) 0.02457
p-value 1.00e-03
95% CI [0.02359, 0.02547]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.929
No. Observations: 198 RMSE: 141.29
Df Residuals: 196 MAE: 119.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 304.9134 34.6261 0.001 238.5566 378.4428
opcount 0.0246 0.0005 0.001 0.0236 0.0255
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.9932
coef (ms) 0.007722
p-value 1.00e-03
95% CI [0.007646, 0.0078]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 275 RMSE: 13.31
Df Residuals: 273 MAE: 10.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.5131 2.4168 0.001 36.6624 46.1833
opcount 0.0077 0.0000 0.001 0.0076 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 264
R² 0.859
coef (ms) 0.02287
p-value 1.00e-03
95% CI [0.02161, 0.02404]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.858
No. Observations: 264 RMSE: 192.73
Df Residuals: 262 MAE: 163.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 660.2784 45.7120 0.001 574.0598 751.4863
opcount 0.0229 0.0006 0.001 0.0216 0.0240
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 165
R² 0.8137
coef (ms) 0.009887
p-value 1.00e-03
95% CI [0.009199, 0.01059]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.813
No. Observations: 165 RMSE: 98.43
Df Residuals: 163 MAE: 62.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 140.8909 20.8273 0.001 101.0218 181.0383
opcount 0.0099 0.0004 0.001 0.0092 0.0106
==============================================================================
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 418
R² 0.8476
coef (ms) 0.01284
p-value 1.00e-03
95% CI [0.01234, 0.01336]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.847
No. Observations: 418 RMSE: 130.11
Df Residuals: 416 MAE: 111.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.5646 18.1529 0.001 183.6296 256.3769
opcount 0.0128 0.0003 0.001 0.0123 0.0134
==============================================================================
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 0.9603
coef (ms) 0.008939
p-value 1.00e-03
95% CI [0.008844, 0.009035]
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: 44.27
Df Residuals: 196 MAE: 35.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.7002 1.000 0.0000 1.6436
opcount 0.0089 0.0000 0.001 0.0088 0.0090
==============================================================================
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 275
R² 0.9668
coef (ms) 0.002006
p-value 1.00e-03
95% CI [0.001965, 0.002047]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 275 RMSE: 8.88
Df Residuals: 273 MAE: 7.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.6459 1.6632 0.001 23.4555 30.0075
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.8673
coef (ms) 0.02147
p-value 1.00e-03
95% CI [0.0203, 0.02251]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.867
No. Observations: 264 RMSE: 200.70
Df Residuals: 262 MAE: 171.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 691.9282 49.3549 0.001 599.5712 790.3568
opcount 0.0215 0.0006 0.001 0.0203 0.0225
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 165
R² 0.9317
coef (ms) 0.0032
p-value 1.00e-03
95% CI [0.003061, 0.003345]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.931
No. Observations: 165 RMSE: 20.71
Df Residuals: 163 MAE: 16.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.7288 5.3014 0.001 82.3145 102.3969
opcount 0.0032 0.0001 0.001 0.0031 0.0033
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 418
R² 0.2539
coef (ms) 7.537e-05
p-value 1.00e-03
95% CI [6.143e-05, 8.773e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.254
Model: NNLS Adj. R-squared: 0.252
No. Observations: 418 RMSE: 75.55
Df Residuals: 416 MAE: 57.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 187.3683 12.8366 0.001 163.6901 213.1700
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 · erigon
nobs 198
R² 0.9118
coef (ms) 5.267e-05
p-value 1.00e-03
95% CI [5.045e-05, 5.503e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.911
No. Observations: 198 RMSE: 9.58
Df Residuals: 196 MAE: 7.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.4685 1.9898 0.001 23.6630 31.2859
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
BALANCE · test_ext_account_query_warm · combo BALANCE · ethrex
nobs 275
R² 0.3033
coef (ms) 1.327e-05
p-value 1.00e-03
95% CI [1.1e-05, 1.535e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.303
Model: NNLS Adj. R-squared: 0.301
No. Observations: 275 RMSE: 11.77
Df Residuals: 273 MAE: 7.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.2695 2.3798 0.001 7.7847 16.8494
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 264
R² 0.6738
coef (ms) 2.791e-05
p-value 1.00e-03
95% CI [2.535e-05, 3.023e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.674
Model: NNLS Adj. R-squared: 0.673
No. Observations: 264 RMSE: 11.35
Df Residuals: 262 MAE: 8.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.2160 2.3117 0.001 18.0540 26.8197
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 165
R² 0.6554
coef (ms) 0.0001286
p-value 1.00e-03
95% CI [0.0001138, 0.0001433]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.655
Model: NNLS Adj. R-squared: 0.653
No. Observations: 165 RMSE: 54.52
Df Residuals: 163 MAE: 38.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 145.9506 12.9591 0.001 120.9705 173.0195
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
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 418
R² 0.7866
coef (ms) 0.01472
p-value 1.00e-03
95% CI [0.01398, 0.01548]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.786
No. Observations: 418 RMSE: 182.09
Df Residuals: 416 MAE: 155.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 636.7950 27.2083 0.001 584.6259 689.9347
opcount 0.0147 0.0004 0.001 0.0140 0.0155
==============================================================================
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 0.9713
coef (ms) 0.01114
p-value 1.00e-03
95% CI [0.01088, 0.01136]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 198 RMSE: 45.45
Df Residuals: 196 MAE: 39.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.4026 8.3861 0.051 0.0000 30.9857
opcount 0.0111 0.0001 0.001 0.0109 0.0114
==============================================================================
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 275
R² 0.9943
coef (ms) 0.007329
p-value 1.00e-03
95% CI [0.007259, 0.007393]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 13.22
Df Residuals: 273 MAE: 10.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.0234 2.4895 0.001 38.2140 48.0913
opcount 0.0073 0.0000 0.001 0.0073 0.0074
==============================================================================
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 264
R² 0.9144
coef (ms) 0.01107
p-value 1.00e-03
95% CI [0.01062, 0.01151]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 264 RMSE: 80.39
Df Residuals: 262 MAE: 66.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 393.3204 19.2483 0.001 355.1385 430.3761
opcount 0.0111 0.0002 0.001 0.0106 0.0115
==============================================================================
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 165
R² 0.8992
coef (ms) 0.003806
p-value 1.00e-03
95% CI [0.00362, 0.004002]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 165 RMSE: 30.26
Df Residuals: 163 MAE: 24.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 116.7062 7.3910 0.001 101.6874 130.6472
opcount 0.0038 0.0001 0.001 0.0036 0.0040
==============================================================================
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 418
R² 0.8502
coef (ms) 0.01515
p-value 1.00e-03
95% CI [0.01451, 0.01576]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.850
No. Observations: 418 RMSE: 151.03
Df Residuals: 416 MAE: 129.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 327.7236 23.4209 0.001 282.4132 373.9329
opcount 0.0152 0.0003 0.001 0.0145 0.0158
==============================================================================
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 0.972
coef (ms) 0.01015
p-value 1.00e-03
95% CI [0.009982, 0.01024]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 198 RMSE: 41.20
Df Residuals: 196 MAE: 34.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.8529 1.000 0.0000 10.6646
opcount 0.0102 0.0001 0.001 0.0100 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9678
coef (ms) 0.002055
p-value 1.00e-03
95% CI [0.002011, 0.002098]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 275 RMSE: 8.90
Df Residuals: 273 MAE: 7.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.9255 1.7699 0.001 25.5890 32.3701
opcount 0.0021 0.0000 0.001 0.0020 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 264
R² 0.8687
coef (ms) 0.02194
p-value 1.00e-03
95% CI [0.02092, 0.02302]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.868
No. Observations: 264 RMSE: 202.64
Df Residuals: 262 MAE: 172.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 694.6479 47.2791 0.001 597.4696 785.0893
opcount 0.0219 0.0006 0.001 0.0209 0.0230
==============================================================================
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 165
R² 0.9143
coef (ms) 0.003716
p-value 1.00e-03
95% CI [0.003545, 0.003897]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 165 RMSE: 27.01
Df Residuals: 163 MAE: 21.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.1273 6.4114 0.001 75.8954 100.4219
opcount 0.0037 0.0001 0.001 0.0035 0.0039
==============================================================================
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 418
R² 0.8814
coef (ms) 0.02765
p-value 1.00e-03
95% CI [0.02677, 0.02857]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 418 RMSE: 206.41
Df Residuals: 416 MAE: 173.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 474.0256 31.8437 0.001 415.0507 534.8284
opcount 0.0276 0.0005 0.001 0.0268 0.0286
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · erigon
nobs 198
R² 0.9229
coef (ms) 0.02638
p-value 1.00e-03
95% CI [0.02534, 0.02729]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.923
No. Observations: 198 RMSE: 155.14
Df Residuals: 196 MAE: 131.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 304.0277 36.6902 0.001 237.4995 379.8237
opcount 0.0264 0.0005 0.001 0.0253 0.0273
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9943
coef (ms) 0.007907
p-value 1.00e-03
95% CI [0.007842, 0.007974]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 12.19
Df Residuals: 273 MAE: 9.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.6297 2.0888 0.001 33.4655 41.7016
opcount 0.0079 0.0000 0.001 0.0078 0.0080
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.8681
coef (ms) 0.02345
p-value 1.00e-03
95% CI [0.02221, 0.02464]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 264 RMSE: 185.96
Df Residuals: 262 MAE: 155.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 650.8085 43.5620 0.001 565.4067 736.8641
opcount 0.0234 0.0006 0.001 0.0222 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 165
R² 0.8349
coef (ms) 0.01054
p-value 1.00e-03
95% CI [0.009895, 0.01114]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.834
No. Observations: 165 RMSE: 95.34
Df Residuals: 163 MAE: 64.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 196.4960 21.4871 0.001 156.2275 239.9317
opcount 0.0105 0.0003 0.001 0.0099 0.0111
==============================================================================
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 418
R² 0.8502
coef (ms) 0.01515
p-value 1.00e-03
95% CI [0.01451, 0.01576]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.850
No. Observations: 418 RMSE: 151.03
Df Residuals: 416 MAE: 129.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 327.7236 23.4209 0.001 282.4132 373.9329
opcount 0.0152 0.0003 0.001 0.0145 0.0158
==============================================================================
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 0.972
coef (ms) 0.01015
p-value 1.00e-03
95% CI [0.009982, 0.01024]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 198 RMSE: 41.20
Df Residuals: 196 MAE: 34.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.8529 1.000 0.0000 10.6646
opcount 0.0102 0.0001 0.001 0.0100 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9678
coef (ms) 0.002055
p-value 1.00e-03
95% CI [0.002011, 0.002098]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 275 RMSE: 8.90
Df Residuals: 273 MAE: 7.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.9255 1.7699 0.001 25.5890 32.3701
opcount 0.0021 0.0000 0.001 0.0020 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.8687
coef (ms) 0.02194
p-value 1.00e-03
95% CI [0.02092, 0.02302]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.868
No. Observations: 264 RMSE: 202.64
Df Residuals: 262 MAE: 172.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 694.6479 47.2791 0.001 597.4696 785.0893
opcount 0.0219 0.0006 0.001 0.0209 0.0230
==============================================================================
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 165
R² 0.9143
coef (ms) 0.003716
p-value 1.00e-03
95% CI [0.003545, 0.003897]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 165 RMSE: 27.01
Df Residuals: 163 MAE: 21.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 88.1273 6.4114 0.001 75.8954 100.4219
opcount 0.0037 0.0001 0.001 0.0035 0.0039
==============================================================================
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 418
R² 0.9525
coef (ms) 0.07347
p-value 1.00e-03
95% CI [0.07194, 0.07504]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.952
No. Observations: 418 RMSE: 110.38
Df Residuals: 416 MAE: 91.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 364.9375 16.0483 0.001 334.8084 396.5175
opcount 0.0735 0.0008 0.001 0.0719 0.0750
==============================================================================
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 0.982
coef (ms) 0.05732
p-value 1.00e-03
95% CI [0.05635, 0.05833]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 198 RMSE: 52.16
Df Residuals: 196 MAE: 41.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 473.5390 9.7735 0.001 455.1202 492.9456
opcount 0.0573 0.0005 0.001 0.0563 0.0583
==============================================================================
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 275
R² 0.9837
coef (ms) 0.02238
p-value 1.00e-03
95% CI [0.02209, 0.02264]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 275 RMSE: 19.40
Df Residuals: 273 MAE: 15.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 148.9693 3.3942 0.001 142.5957 155.8633
opcount 0.0224 0.0001 0.001 0.0221 0.0226
==============================================================================
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 264
R² 0.967
coef (ms) 0.05799
p-value 1.00e-03
95% CI [0.05674, 0.05922]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 264 RMSE: 72.12
Df Residuals: 262 MAE: 61.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 184.6219 12.3014 0.001 161.9313 208.9613
opcount 0.0580 0.0006 0.001 0.0567 0.0592
==============================================================================
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 165
R² 0.7216
coef (ms) 0.02734
p-value 1.00e-03
95% CI [0.02474, 0.02989]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.722
Model: NNLS Adj. R-squared: 0.720
No. Observations: 165 RMSE: 114.28
Df Residuals: 163 MAE: 97.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.4055 25.7296 0.001 169.3163 273.8399
opcount 0.0273 0.0013 0.001 0.0247 0.0299
==============================================================================
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 418
R² 0.8941
coef (ms) 0.1176
p-value 1.00e-03
95% CI [0.1138, 0.1215]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.894
Model: NNLS Adj. R-squared: 0.894
No. Observations: 418 RMSE: 13.33
Df Residuals: 416 MAE: 10.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.9991 1.9461 0.001 41.3873 48.9986
opcount 0.1176 0.0020 0.001 0.1138 0.1215
==============================================================================
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 0.9375
coef (ms) 0.196
p-value 1.00e-03
95% CI [0.1886, 0.2036]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.937
No. Observations: 198 RMSE: 16.66
Df Residuals: 196 MAE: 13.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.4081 3.8443 0.001 81.7262 97.3724
opcount 0.1960 0.0036 0.001 0.1886 0.2036
==============================================================================
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 275
R² 0.09258
coef (ms) 0.01333
p-value 1.00e-03
95% CI [0.009355, 0.01768]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.093
Model: NNLS Adj. R-squared: 0.089
No. Observations: 275 RMSE: 13.74
Df Residuals: 273 MAE: 8.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.1831 2.3786 0.001 17.6407 26.8320
opcount 0.0133 0.0021 0.001 0.0094 0.0177
==============================================================================
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 264
R² 0.8777
coef (ms) 0.09598
p-value 1.00e-03
95% CI [0.09176, 0.1007]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.877
No. Observations: 264 RMSE: 11.80
Df Residuals: 262 MAE: 9.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.8194 2.2953 0.001 52.2246 61.1473
opcount 0.0960 0.0023 0.001 0.0918 0.1007
==============================================================================
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 165
R² 0.6111
coef (ms) 0.05495
p-value 1.00e-03
95% CI [0.04882, 0.06153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.611
Model: NNLS Adj. R-squared: 0.609
No. Observations: 165 RMSE: 14.43
Df Residuals: 163 MAE: 11.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.5867 3.3922 0.001 23.0713 36.4221
opcount 0.0549 0.0032 0.001 0.0488 0.0615
==============================================================================
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 418
R² 0.9267
coef (ms) 0.09211
p-value 1.00e-03
95% CI [0.08933, 0.09473]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.927
Model: NNLS Adj. R-squared: 0.927
No. Observations: 418 RMSE: 166.36
Df Residuals: 416 MAE: 134.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 372.0484 25.4311 0.001 322.7727 421.7581
opcount 0.0921 0.0014 0.001 0.0893 0.0947
==============================================================================
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 0.9899
coef (ms) 0.1672
p-value 1.00e-03
95% CI [0.1648, 0.1696]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 198 RMSE: 108.28
Df Residuals: 196 MAE: 95.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1259.3628 22.6422 0.001 1215.4657 1306.0396
opcount 0.1672 0.0012 0.001 0.1648 0.1696
==============================================================================
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 275
R² 0.9833
coef (ms) 0.02301
p-value 1.00e-03
95% CI [0.02274, 0.02331]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 275 RMSE: 19.28
Df Residuals: 273 MAE: 14.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 149.7679 3.3469 0.001 143.3203 156.4646
opcount 0.0230 0.0001 0.001 0.0227 0.0233
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 264
R² 0.9742
coef (ms) 0.09685
p-value 1.00e-03
95% CI [0.09516, 0.0986]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 264 RMSE: 101.21
Df Residuals: 262 MAE: 84.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 306.1119 16.8743 0.001 273.5587 339.5797
opcount 0.0968 0.0009 0.001 0.0952 0.0986
==============================================================================
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 165
R² 0.8233
coef (ms) 0.04234
p-value 1.00e-03
95% CI [0.03947, 0.04525]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.822
No. Observations: 165 RMSE: 125.99
Df Residuals: 163 MAE: 109.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 237.3516 30.0930 0.001 179.8975 294.9121
opcount 0.0423 0.0015 0.001 0.0395 0.0453
==============================================================================
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 418
R² 0.8941
coef (ms) 0.1176
p-value 1.00e-03
95% CI [0.1138, 0.1215]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.894
Model: NNLS Adj. R-squared: 0.894
No. Observations: 418 RMSE: 13.33
Df Residuals: 416 MAE: 10.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.9991 1.9461 0.001 41.3873 48.9986
opcount 0.1176 0.0020 0.001 0.1138 0.1215
==============================================================================
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 0.9375
coef (ms) 0.196
p-value 1.00e-03
95% CI [0.1886, 0.2036]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.937
No. Observations: 198 RMSE: 16.66
Df Residuals: 196 MAE: 13.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.4081 3.8443 0.001 81.7262 97.3724
opcount 0.1960 0.0036 0.001 0.1886 0.2036
==============================================================================
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 275
R² 0.09258
coef (ms) 0.01333
p-value 1.00e-03
95% CI [0.009355, 0.01768]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.093
Model: NNLS Adj. R-squared: 0.089
No. Observations: 275 RMSE: 13.74
Df Residuals: 273 MAE: 8.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.1831 2.3786 0.001 17.6407 26.8320
opcount 0.0133 0.0021 0.001 0.0094 0.0177
==============================================================================
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 264
R² 0.8777
coef (ms) 0.09598
p-value 1.00e-03
95% CI [0.09176, 0.1007]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.877
No. Observations: 264 RMSE: 11.80
Df Residuals: 262 MAE: 9.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.8194 2.2953 0.001 52.2246 61.1473
opcount 0.0960 0.0023 0.001 0.0918 0.1007
==============================================================================
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 165
R² 0.6111
coef (ms) 0.05495
p-value 1.00e-03
95% CI [0.04882, 0.06153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.611
Model: NNLS Adj. R-squared: 0.609
No. Observations: 165 RMSE: 14.43
Df Residuals: 163 MAE: 11.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.5867 3.3922 0.001 23.0713 36.4221
opcount 0.0549 0.0032 0.001 0.0488 0.0615
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 418
R² 0.7025
coef (ms) 0.0004283
p-value 1.00e-03
95% CI [0.0003981, 0.0004578]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.703
Model: NNLS Adj. R-squared: 0.702
No. Observations: 418 RMSE: 140.83
Df Residuals: 416 MAE: 112.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 533.8948 22.3416 0.001 489.8391 579.7232
opcount 0.0004 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALL · test_ext_account_query_warm · combo CALL · erigon
nobs 198
R² 0.9191
coef (ms) 0.0005503
p-value 1.00e-03
95% CI [0.0005289, 0.0005733]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.919
No. Observations: 198 RMSE: 82.50
Df Residuals: 196 MAE: 67.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 59.9333 17.2053 0.001 26.8514 91.3810
opcount 0.0006 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALL · test_ext_account_query_warm · combo CALL · ethrex
nobs 275
R² 0.9476
coef (ms) 0.0001073
p-value 1.00e-03
95% CI [0.0001045, 0.0001104]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.947
No. Observations: 275 RMSE: 12.74
Df Residuals: 273 MAE: 10.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.6948 2.4927 0.001 28.6298 38.2630
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 264
R² 0.8647
coef (ms) 0.0001292
p-value 1.00e-03
95% CI [0.000122, 0.0001365]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.865
Model: NNLS Adj. R-squared: 0.864
No. Observations: 264 RMSE: 25.82
Df Residuals: 262 MAE: 20.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.8124 5.5817 0.001 42.1519 64.0914
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 165
R² 0.7942
coef (ms) 0.0002652
p-value 1.00e-03
95% CI [0.0002445, 0.0002845]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.793
No. Observations: 165 RMSE: 68.22
Df Residuals: 163 MAE: 54.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 237.1532 16.7041 0.001 204.3179 271.9464
opcount 0.0003 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · besu
nobs 418
R² 0.7933
coef (ms) 0.0141
p-value 1.00e-03
95% CI [0.01347, 0.01475]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.793
No. Observations: 418 RMSE: 170.92
Df Residuals: 416 MAE: 143.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 624.1963 25.2048 0.001 572.0569 674.1031
opcount 0.0141 0.0003 0.001 0.0135 0.0148
==============================================================================
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 0.9618
coef (ms) 0.01027
p-value 1.00e-03
95% CI [0.01001, 0.01044]
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: 48.64
Df Residuals: 196 MAE: 40.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.6194 7.8519 0.209 0.0000 26.1086
opcount 0.0103 0.0001 0.001 0.0100 0.0104
==============================================================================
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 275
R² 0.9936
coef (ms) 0.007307
p-value 1.00e-03
95% CI [0.007243, 0.007372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 13.96
Df Residuals: 273 MAE: 10.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.8478 2.5565 0.001 39.2363 48.8470
opcount 0.0073 0.0000 0.001 0.0072 0.0074
==============================================================================
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 264
R² 0.9098
coef (ms) 0.01103
p-value 1.00e-03
95% CI [0.01053, 0.01151]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.909
No. Observations: 264 RMSE: 82.47
Df Residuals: 262 MAE: 68.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 408.0374 20.4635 0.001 367.7471 449.0626
opcount 0.0110 0.0002 0.001 0.0105 0.0115
==============================================================================
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 165
R² 0.9171
coef (ms) 0.003751
p-value 1.00e-03
95% CI [0.00357, 0.003923]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.917
Model: NNLS Adj. R-squared: 0.917
No. Observations: 165 RMSE: 26.78
Df Residuals: 163 MAE: 20.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 107.0732 6.7746 0.001 94.2788 120.4832
opcount 0.0038 0.0001 0.001 0.0036 0.0039
==============================================================================
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 418
R² 0.8444
coef (ms) 0.01429
p-value 1.00e-03
95% CI [0.01366, 0.01487]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.844
No. Observations: 418 RMSE: 145.63
Df Residuals: 416 MAE: 126.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 314.3148 23.1003 0.001 270.4593 360.4382
opcount 0.0143 0.0003 0.001 0.0137 0.0149
==============================================================================
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 0.9648
coef (ms) 0.009481
p-value 1.00e-03
95% CI [0.009261, 0.009563]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 198 RMSE: 43.10
Df Residuals: 196 MAE: 36.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 4.3028 1.000 0.0000 14.4356
opcount 0.0095 0.0001 0.001 0.0093 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9647
coef (ms) 0.002057
p-value 1.00e-03
95% CI [0.002012, 0.002105]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 275 RMSE: 9.34
Df Residuals: 273 MAE: 7.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.1528 1.8894 0.001 25.5023 33.1356
opcount 0.0021 0.0000 0.001 0.0020 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 264
R² 0.8681
coef (ms) 0.02243
p-value 1.00e-03
95% CI [0.02124, 0.02357]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 264 RMSE: 207.57
Df Residuals: 262 MAE: 177.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 694.0404 48.1595 0.001 602.3851 790.1323
opcount 0.0224 0.0006 0.001 0.0212 0.0236
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 165
R² 0.9259
coef (ms) 0.0036
p-value 1.00e-03
95% CI [0.003468, 0.003737]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.925
No. Observations: 165 RMSE: 24.17
Df Residuals: 163 MAE: 18.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.4352 5.2984 0.001 68.9723 89.7292
opcount 0.0036 0.0001 0.001 0.0035 0.0037
==============================================================================
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 418
R² 0.8794
coef (ms) 0.02745
p-value 1.00e-03
95% CI [0.02651, 0.02832]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.879
No. Observations: 418 RMSE: 206.83
Df Residuals: 416 MAE: 171.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 463.3940 30.4732 0.001 402.1213 525.6671
opcount 0.0274 0.0005 0.001 0.0265 0.0283
==============================================================================
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 0.923
coef (ms) 0.02505
p-value 1.00e-03
95% CI [0.02408, 0.02607]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.923
No. Observations: 198 RMSE: 147.27
Df Residuals: 196 MAE: 124.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 318.6799 35.0890 0.001 249.6042 390.2459
opcount 0.0251 0.0005 0.001 0.0241 0.0261
==============================================================================
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 275
R² 0.9923
coef (ms) 0.007815
p-value 1.00e-03
95% CI [0.00774, 0.00789]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 275 RMSE: 13.98
Df Residuals: 273 MAE: 10.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.8593 2.2385 0.001 39.6698 48.2924
opcount 0.0078 0.0000 0.001 0.0077 0.0079
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.8632
coef (ms) 0.02348
p-value 1.00e-03
95% CI [0.02229, 0.02471]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.863
No. Observations: 264 RMSE: 190.17
Df Residuals: 262 MAE: 160.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 653.7642 44.9038 0.001 564.9816 741.5129
opcount 0.0235 0.0006 0.001 0.0223 0.0247
==============================================================================
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 165
R² 0.8124
coef (ms) 0.01104
p-value 1.00e-03
95% CI [0.01032, 0.01176]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.812
Model: NNLS Adj. R-squared: 0.811
No. Observations: 165 RMSE: 107.98
Df Residuals: 163 MAE: 71.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 172.8916 23.1869 0.001 127.8377 221.1708
opcount 0.0110 0.0004 0.001 0.0103 0.0118
==============================================================================
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 418
R² 0.8444
coef (ms) 0.01429
p-value 1.00e-03
95% CI [0.01366, 0.01487]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.844
Model: NNLS Adj. R-squared: 0.844
No. Observations: 418 RMSE: 145.63
Df Residuals: 416 MAE: 126.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 314.3148 23.1003 0.001 270.4593 360.4382
opcount 0.0143 0.0003 0.001 0.0137 0.0149
==============================================================================
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 0.9648
coef (ms) 0.009481
p-value 1.00e-03
95% CI [0.009261, 0.009563]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 198 RMSE: 43.10
Df Residuals: 196 MAE: 36.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 4.3028 1.000 0.0000 14.4356
opcount 0.0095 0.0001 0.001 0.0093 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9647
coef (ms) 0.002057
p-value 1.00e-03
95% CI [0.002012, 0.002105]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 275 RMSE: 9.34
Df Residuals: 273 MAE: 7.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.1528 1.8894 0.001 25.5023 33.1356
opcount 0.0021 0.0000 0.001 0.0020 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.8681
coef (ms) 0.02243
p-value 1.00e-03
95% CI [0.02124, 0.02357]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.868
No. Observations: 264 RMSE: 207.57
Df Residuals: 262 MAE: 177.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 694.0404 48.1595 0.001 602.3851 790.1323
opcount 0.0224 0.0006 0.001 0.0212 0.0236
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 165
R² 0.9259
coef (ms) 0.0036
p-value 1.00e-03
95% CI [0.003468, 0.003737]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.925
No. Observations: 165 RMSE: 24.17
Df Residuals: 163 MAE: 18.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.4352 5.2984 0.001 68.9723 89.7292
opcount 0.0036 0.0001 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_write] · besu
nobs 418
R² 0.8809
coef (ms) 0.02498
p-value 1.00e-03
95% CI [0.02406, 0.02585]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 418 RMSE: 61.81
Df Residuals: 416 MAE: 49.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.4236 8.7182 0.001 52.0624 86.3553
opcount 0.0250 0.0004 0.001 0.0241 0.0259
==============================================================================
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 0.8917
coef (ms) 0.008032
p-value 1.00e-03
95% CI [0.007687, 0.008409]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.891
No. Observations: 198 RMSE: 18.84
Df Residuals: 196 MAE: 12.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.0728 3.9137 0.001 14.5066 29.8093
opcount 0.0080 0.0002 0.001 0.0077 0.0084
==============================================================================
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 275
R² -2.22e-16
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: -0.000
Model: NNLS Adj. R-squared: -0.004
No. Observations: 275 RMSE: 54.58
Df Residuals: 273 MAE: 43.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 242.2512 3.3771 0.001 235.8175 249.0868
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · geth
nobs 264
R² 0.8705
coef (ms) 0.01315
p-value 1.00e-03
95% CI [0.0125, 0.01384]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 264 RMSE: 34.14
Df Residuals: 262 MAE: 28.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 142.5225 7.7842 0.001 128.0128 157.6754
opcount 0.0132 0.0003 0.001 0.0125 0.0138
==============================================================================
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 165
R² 0.7601
coef (ms) 0.004287
p-value 1.00e-03
95% CI [0.003888, 0.004679]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.760
Model: NNLS Adj. R-squared: 0.759
No. Observations: 165 RMSE: 16.21
Df Residuals: 163 MAE: 12.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.2577 4.1683 0.001 65.7929 82.7699
opcount 0.0043 0.0002 0.001 0.0039 0.0047
==============================================================================
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 418
R² 0.6516
coef (ms) 0.004701
p-value 1.00e-03
95% CI [0.004352, 0.005026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.652
Model: NNLS Adj. R-squared: 0.651
No. Observations: 418 RMSE: 23.14
Df Residuals: 416 MAE: 18.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 138.3111 3.5164 0.001 131.4154 145.3520
opcount 0.0047 0.0002 0.001 0.0044 0.0050
==============================================================================
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 0.8667
coef (ms) 0.001338
p-value 1.00e-03
95% CI [0.001265, 0.001407]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 198 RMSE: 3.53
Df Residuals: 196 MAE: 2.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.2961 0.7478 0.001 36.8835 39.7358
opcount 0.0013 0.0000 0.001 0.0013 0.0014
==============================================================================
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 275
R² 0.008143
coef (ms) 0.0002184
p-value 8.40e-02
95% CI [0, 0.0005266]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.008
Model: NNLS Adj. R-squared: 0.005
No. Observations: 275 RMSE: 16.23
Df Residuals: 273 MAE: 9.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.8172 3.4357 0.001 11.9200 24.6618
opcount 0.0002 0.0001 0.084 0.0000 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 264
R² 0.9752
coef (ms) 0.01022
p-value 1.00e-03
95% CI [0.01002, 0.01043]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 264 RMSE: 10.97
Df Residuals: 262 MAE: 8.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 328.2134 2.0580 0.001 324.2765 332.2763
opcount 0.0102 0.0001 0.001 0.0100 0.0104
==============================================================================
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 165
R² 0.4933
coef (ms) 0.001649
p-value 1.00e-03
95% CI [0.001369, 0.001936]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.493
Model: NNLS Adj. R-squared: 0.490
No. Observations: 165 RMSE: 11.25
Df Residuals: 163 MAE: 9.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.3171 3.0321 0.001 41.4548 53.3308
opcount 0.0016 0.0001 0.001 0.0014 0.0019
==============================================================================
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 418
R² 0.8256
coef (ms) 0.03104
p-value 1.00e-03
95% CI [0.02961, 0.03241]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.825
No. Observations: 418 RMSE: 91.65
Df Residuals: 416 MAE: 74.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 82.3059 12.5117 0.001 58.2294 107.7066
opcount 0.0310 0.0007 0.001 0.0296 0.0324
==============================================================================
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 0.9041
coef (ms) 0.02119
p-value 1.00e-03
95% CI [0.02026, 0.02207]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 198 RMSE: 44.33
Df Residuals: 196 MAE: 36.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 251.7935 10.4400 0.001 231.7972 272.1526
opcount 0.0212 0.0005 0.001 0.0203 0.0221
==============================================================================
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 275
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.004
No. Observations: 275 RMSE: 52.27
Df Residuals: 273 MAE: 41.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 245.2797 3.1503 0.001 239.4587 251.5758
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 264
R² 0.8455
coef (ms) 0.024
p-value 1.00e-03
95% CI [0.02264, 0.02531]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.845
No. Observations: 264 RMSE: 65.92
Df Residuals: 262 MAE: 56.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 261.8282 15.1548 0.001 234.1680 290.8098
opcount 0.0240 0.0007 0.001 0.0226 0.0253
==============================================================================
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 165
R² 0.755
coef (ms) 0.01166
p-value 1.00e-03
95% CI [0.01073, 0.01256]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.755
Model: NNLS Adj. R-squared: 0.753
No. Observations: 165 RMSE: 42.67
Df Residuals: 163 MAE: 31.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 107.4597 8.6230 0.001 90.6907 124.9578
opcount 0.0117 0.0005 0.001 0.0107 0.0126
==============================================================================
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 418
R² 0.6516
coef (ms) 0.004701
p-value 1.00e-03
95% CI [0.004352, 0.005026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.652
Model: NNLS Adj. R-squared: 0.651
No. Observations: 418 RMSE: 23.14
Df Residuals: 416 MAE: 18.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 138.3111 3.5164 0.001 131.4154 145.3520
opcount 0.0047 0.0002 0.001 0.0044 0.0050
==============================================================================
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 0.8667
coef (ms) 0.001338
p-value 1.00e-03
95% CI [0.001265, 0.001407]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 198 RMSE: 3.53
Df Residuals: 196 MAE: 2.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.2961 0.7478 0.001 36.8835 39.7358
opcount 0.0013 0.0000 0.001 0.0013 0.0014
==============================================================================
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 275
R² 0.008143
coef (ms) 0.0002184
p-value 8.40e-02
95% CI [0, 0.0005266]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.008
Model: NNLS Adj. R-squared: 0.005
No. Observations: 275 RMSE: 16.23
Df Residuals: 273 MAE: 9.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.8172 3.4357 0.001 11.9200 24.6618
opcount 0.0002 0.0001 0.084 0.0000 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 264
R² 0.9752
coef (ms) 0.01022
p-value 1.00e-03
95% CI [0.01002, 0.01043]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 264 RMSE: 10.97
Df Residuals: 262 MAE: 8.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 328.2134 2.0580 0.001 324.2765 332.2763
opcount 0.0102 0.0001 0.001 0.0100 0.0104
==============================================================================
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 165
R² 0.4933
coef (ms) 0.001649
p-value 1.00e-03
95% CI [0.001369, 0.001936]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.493
Model: NNLS Adj. R-squared: 0.490
No. Observations: 165 RMSE: 11.25
Df Residuals: 163 MAE: 9.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.3171 3.0321 0.001 41.4548 53.3308
opcount 0.0016 0.0001 0.001 0.0014 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · besu
nobs 418
R² 0.6987
coef (ms) 0.0004215
p-value 1.00e-03
95% CI [0.0003967, 0.0004474]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.699
Model: NNLS Adj. R-squared: 0.698
No. Observations: 418 RMSE: 139.83
Df Residuals: 416 MAE: 111.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 536.2003 21.1790 0.001 496.7466 580.2665
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 198
R² 0.9197
coef (ms) 0.0002997
p-value 1.00e-03
95% CI [0.0002879, 0.0003116]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.919
No. Observations: 198 RMSE: 44.73
Df Residuals: 196 MAE: 37.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.6582 9.8492 0.001 32.6258 71.5499
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 275
R² 0.9421
coef (ms) 0.000106
p-value 1.00e-03
95% CI [0.0001026, 0.0001092]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 275 RMSE: 13.27
Df Residuals: 273 MAE: 10.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.6578 2.7620 0.001 29.3576 40.3118
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 264
R² 0.8559
coef (ms) 0.0001828
p-value 1.00e-03
95% CI [0.0001731, 0.0001931]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.855
No. Observations: 264 RMSE: 37.91
Df Residuals: 262 MAE: 29.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.6045 7.4298 0.001 35.3915 64.9950
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 165
R² 0.7033
coef (ms) 0.0002105
p-value 1.00e-03
95% CI [0.0001914, 0.0002315]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.703
Model: NNLS Adj. R-squared: 0.701
No. Observations: 165 RMSE: 69.07
Df Residuals: 163 MAE: 56.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 196.8449 16.3069 0.001 164.2133 229.4002
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · besu
nobs 418
R² 0.7896
coef (ms) 0.01418
p-value 1.00e-03
95% CI [0.01352, 0.0149]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.790
Model: NNLS Adj. R-squared: 0.789
No. Observations: 418 RMSE: 173.98
Df Residuals: 416 MAE: 149.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 612.8766 26.1330 0.001 558.9338 661.3291
opcount 0.0142 0.0004 0.001 0.0135 0.0149
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 198
R² 0.9674
coef (ms) 0.01038
p-value 1.00e-03
95% CI [0.01015, 0.01046]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 198 RMSE: 45.56
Df Residuals: 196 MAE: 38.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 4.3071 1.000 0.0000 15.5026
opcount 0.0104 0.0001 0.001 0.0102 0.0105
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · ethrex
nobs 275
R² 0.9938
coef (ms) 0.007307
p-value 1.00e-03
95% CI [0.007237, 0.00738]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 13.73
Df Residuals: 273 MAE: 10.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.0497 2.6192 0.001 38.8704 49.2103
opcount 0.0073 0.0000 0.001 0.0072 0.0074
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · geth
nobs 264
R² 0.9076
coef (ms) 0.01113
p-value 1.00e-03
95% CI [0.01065, 0.01159]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.907
No. Observations: 264 RMSE: 84.41
Df Residuals: 262 MAE: 71.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 398.3130 19.8601 0.001 360.4880 438.3506
opcount 0.0111 0.0002 0.001 0.0107 0.0116
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 165
R² 0.9245
coef (ms) 0.003971
p-value 1.00e-03
95% CI [0.003796, 0.004152]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.924
No. Observations: 165 RMSE: 26.98
Df Residuals: 163 MAE: 22.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.9994 6.5121 0.001 88.7902 114.2030
opcount 0.0040 0.0001 0.001 0.0038 0.0042
==============================================================================
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 418
R² 0.8589
coef (ms) 0.01447
p-value 1.00e-03
95% CI [0.0139, 0.01504]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 418 RMSE: 139.41
Df Residuals: 416 MAE: 119.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 290.7376 21.2455 0.001 248.4816 332.7733
opcount 0.0145 0.0003 0.001 0.0139 0.0150
==============================================================================
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 0.9692
coef (ms) 0.009518
p-value 1.00e-03
95% CI [0.009405, 0.0096]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 198 RMSE: 40.89
Df Residuals: 196 MAE: 34.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.3757 1.000 0.0000 5.0561
opcount 0.0095 0.0000 0.001 0.0094 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9645
coef (ms) 0.002074
p-value 1.00e-03
95% CI [0.002025, 0.002124]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 275 RMSE: 9.46
Df Residuals: 273 MAE: 7.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.7119 1.8160 0.001 23.2048 30.6046
opcount 0.0021 0.0000 0.001 0.0020 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 264
R² 0.8709
coef (ms) 0.02219
p-value 1.00e-03
95% CI [0.02107, 0.02327]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 264 RMSE: 203.18
Df Residuals: 262 MAE: 172.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 695.5042 47.1423 0.001 604.9578 789.5954
opcount 0.0222 0.0005 0.001 0.0211 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 165
R² 0.9052
coef (ms) 0.003512
p-value 1.00e-03
95% CI [0.003336, 0.003683]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.905
Model: NNLS Adj. R-squared: 0.905
No. Observations: 165 RMSE: 27.02
Df Residuals: 163 MAE: 21.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.2445 6.4017 0.001 83.6715 108.8511
opcount 0.0035 0.0001 0.001 0.0033 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · besu
nobs 418
R² 0.8715
coef (ms) 0.02706
p-value 1.00e-03
95% CI [0.02617, 0.0279]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 418 RMSE: 211.73
Df Residuals: 416 MAE: 176.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 478.2820 29.9671 0.001 423.2064 539.3494
opcount 0.0271 0.0004 0.001 0.0262 0.0279
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.9235
coef (ms) 0.02525
p-value 1.00e-03
95% CI [0.02427, 0.0261]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.923
No. Observations: 198 RMSE: 148.04
Df Residuals: 196 MAE: 125.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 311.5800 33.7466 0.001 252.3328 383.3151
opcount 0.0253 0.0005 0.001 0.0243 0.0261
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.9936
coef (ms) 0.007902
p-value 1.00e-03
95% CI [0.007822, 0.00798]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 12.90
Df Residuals: 273 MAE: 10.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.7592 2.4844 0.001 35.1110 44.5984
opcount 0.0079 0.0000 0.001 0.0078 0.0080
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 264
R² 0.8626
coef (ms) 0.02342
p-value 1.00e-03
95% CI [0.02226, 0.02455]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.862
No. Observations: 264 RMSE: 190.38
Df Residuals: 262 MAE: 160.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 648.6146 43.2089 0.001 563.5283 731.1236
opcount 0.0234 0.0006 0.001 0.0223 0.0245
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 165
R² 0.8616
coef (ms) 0.01102
p-value 1.00e-03
95% CI [0.01041, 0.01169]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.861
No. Observations: 165 RMSE: 89.99
Df Residuals: 163 MAE: 60.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 164.6169 19.9558 0.001 126.7161 204.7251
opcount 0.0110 0.0003 0.001 0.0104 0.0117
==============================================================================
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 418
R² 0.8589
coef (ms) 0.01447
p-value 1.00e-03
95% CI [0.0139, 0.01504]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 418 RMSE: 139.41
Df Residuals: 416 MAE: 119.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 290.7376 21.2455 0.001 248.4816 332.7733
opcount 0.0145 0.0003 0.001 0.0139 0.0150
==============================================================================
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 0.9692
coef (ms) 0.009518
p-value 1.00e-03
95% CI [0.009405, 0.0096]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 198 RMSE: 40.89
Df Residuals: 196 MAE: 34.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.3757 1.000 0.0000 5.0561
opcount 0.0095 0.0000 0.001 0.0094 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9645
coef (ms) 0.002074
p-value 1.00e-03
95% CI [0.002025, 0.002124]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 275 RMSE: 9.46
Df Residuals: 273 MAE: 7.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.7119 1.8160 0.001 23.2048 30.6046
opcount 0.0021 0.0000 0.001 0.0020 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.8709
coef (ms) 0.02219
p-value 1.00e-03
95% CI [0.02107, 0.02327]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 264 RMSE: 203.18
Df Residuals: 262 MAE: 172.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 695.5042 47.1423 0.001 604.9578 789.5954
opcount 0.0222 0.0005 0.001 0.0211 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 165
R² 0.9052
coef (ms) 0.003512
p-value 1.00e-03
95% CI [0.003336, 0.003683]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.905
Model: NNLS Adj. R-squared: 0.905
No. Observations: 165 RMSE: 27.02
Df Residuals: 163 MAE: 21.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.2445 6.4017 0.001 83.6715 108.8511
opcount 0.0035 0.0001 0.001 0.0033 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · besu
nobs 418
R² 0.6433
coef (ms) 0.0003839
p-value 1.00e-03
95% CI [0.0003599, 0.0004071]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.643
Model: NNLS Adj. R-squared: 0.642
No. Observations: 418 RMSE: 147.97
Df Residuals: 416 MAE: 114.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 501.8219 19.2656 0.001 465.4889 541.7204
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · erigon
nobs 198
R² 0.9232
coef (ms) 0.0003045
p-value 1.00e-03
95% CI [0.0002918, 0.0003176]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.923
No. Observations: 198 RMSE: 45.45
Df Residuals: 196 MAE: 36.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.4836 9.8424 0.001 25.4314 64.3845
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 275
R² 0.9481
coef (ms) 0.0001035
p-value 1.00e-03
95% CI [0.0001007, 0.0001065]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.948
No. Observations: 275 RMSE: 12.53
Df Residuals: 273 MAE: 9.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5682 2.4368 0.001 26.7004 36.2324
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 264
R² 0.8698
coef (ms) 0.0001614
p-value 1.00e-03
95% CI [0.0001541, 0.0001693]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 264 RMSE: 32.33
Df Residuals: 262 MAE: 24.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4062 5.9156 0.001 19.7476 42.7265
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 165
R² 0.7412
coef (ms) 0.000295
p-value 1.00e-03
95% CI [0.0002691, 0.0003233]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.740
No. Observations: 165 RMSE: 90.23
Df Residuals: 163 MAE: 67.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 211.2670 21.2485 0.001 168.4594 250.5486
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] · besu
nobs 418
R² 0.2445
coef (ms) 0.000243
p-value 1.00e-03
95% CI [0.0002031, 0.0002805]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.244
Model: NNLS Adj. R-squared: 0.243
No. Observations: 418 RMSE: 109.65
Df Residuals: 416 MAE: 87.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 211.9447 16.0432 0.001 181.8692 242.3609
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.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 198
R² 0.8608
coef (ms) 8.099e-05
p-value 1.00e-03
95% CI [7.629e-05, 8.608e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 198 RMSE: 8.36
Df Residuals: 196 MAE: 6.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.7953 1.8321 0.001 23.1230 30.4755
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 275
R² 0.319
coef (ms) 3.707e-05
p-value 1.00e-03
95% CI [3.129e-05, 4.302e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.319
Model: NNLS Adj. R-squared: 0.316
No. Observations: 275 RMSE: 13.91
Df Residuals: 273 MAE: 10.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.1064 2.6913 0.001 9.4232 19.5782
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 264
R² 0.933
coef (ms) 0.0003482
p-value 1.00e-03
95% CI [0.000336, 0.000361]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.933
No. Observations: 264 RMSE: 23.97
Df Residuals: 262 MAE: 17.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.9073 4.4025 0.001 15.8368 33.3928
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 165
R² 0.6748
coef (ms) 0.0003458
p-value 1.00e-03
95% CI [0.0003105, 0.0003812]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.675
Model: NNLS Adj. R-squared: 0.673
No. Observations: 165 RMSE: 61.65
Df Residuals: 163 MAE: 45.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.2294 14.8906 0.001 137.9395 194.4885
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · besu
nobs 418
R² 0.288
coef (ms) 0.001485
p-value 1.00e-03
95% CI [0.001283, 0.001701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.288
Model: NNLS Adj. R-squared: 0.286
No. Observations: 418 RMSE: 230.71
Df Residuals: 416 MAE: 194.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 359.8119 32.4822 0.001 295.8351 422.5262
opcount 0.0015 0.0001 0.001 0.0013 0.0017
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.8318
coef (ms) 0.0003487
p-value 1.00e-03
95% CI [0.0003318, 0.0003658]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 198 RMSE: 15.49
Df Residuals: 196 MAE: 10.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.1176 2.9692 0.001 35.3668 47.2307
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.7706
coef (ms) 0.0001941
p-value 1.00e-03
95% CI [0.0001814, 0.0002082]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.771
Model: NNLS Adj. R-squared: 0.770
No. Observations: 275 RMSE: 10.46
Df Residuals: 273 MAE: 8.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.2704 2.1761 0.001 21.7837 30.3919
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · geth
nobs 264
R² 0.8844
coef (ms) 0.0007536
p-value 1.00e-03
95% CI [0.000722, 0.0007887]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.884
No. Observations: 264 RMSE: 26.92
Df Residuals: 262 MAE: 21.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.1657 4.9754 0.001 36.2409 55.4510
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · nethermind
nobs 165
R² 0.81
coef (ms) 0.001389
p-value 1.00e-03
95% CI [0.001276, 0.001505]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.809
No. Observations: 165 RMSE: 66.45
Df Residuals: 163 MAE: 53.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 226.4942 17.3620 0.001 193.0877 261.5934
opcount 0.0014 0.0001 0.001 0.0013 0.0015
==============================================================================
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 418
R² 0.2445
coef (ms) 0.000243
p-value 1.00e-03
95% CI [0.0002031, 0.0002805]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.244
Model: NNLS Adj. R-squared: 0.243
No. Observations: 418 RMSE: 109.65
Df Residuals: 416 MAE: 87.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 211.9447 16.0432 0.001 181.8692 242.3609
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.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 198
R² 0.8608
coef (ms) 8.099e-05
p-value 1.00e-03
95% CI [7.629e-05, 8.608e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 198 RMSE: 8.36
Df Residuals: 196 MAE: 6.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.7953 1.8321 0.001 23.1230 30.4755
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 275
R² 0.319
coef (ms) 3.707e-05
p-value 1.00e-03
95% CI [3.129e-05, 4.302e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.319
Model: NNLS Adj. R-squared: 0.316
No. Observations: 275 RMSE: 13.91
Df Residuals: 273 MAE: 10.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.1064 2.6913 0.001 9.4232 19.5782
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 264
R² 0.933
coef (ms) 0.0003482
p-value 1.00e-03
95% CI [0.000336, 0.000361]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.933
No. Observations: 264 RMSE: 23.97
Df Residuals: 262 MAE: 17.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.9073 4.4025 0.001 15.8368 33.3928
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 165
R² 0.6748
coef (ms) 0.0003458
p-value 1.00e-03
95% CI [0.0003105, 0.0003812]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.675
Model: NNLS Adj. R-squared: 0.673
No. Observations: 165 RMSE: 61.65
Df Residuals: 163 MAE: 45.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.2294 14.8906 0.001 137.9395 194.4885
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
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 418
R² 0.8548
coef (ms) 0.01268
p-value 1.00e-03
95% CI [0.01224, 0.01316]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.855
Model: NNLS Adj. R-squared: 0.854
No. Observations: 418 RMSE: 124.88
Df Residuals: 416 MAE: 106.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 234.8429 18.1565 0.001 199.1383 268.3032
opcount 0.0127 0.0002 0.001 0.0122 0.0132
==============================================================================
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 0.9682
coef (ms) 0.008554
p-value 1.00e-03
95% CI [0.00848, 0.008631]
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: 38.20
Df Residuals: 196 MAE: 31.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0827 1.000 0.0000 0.0000
opcount 0.0086 0.0000 0.001 0.0085 0.0086
==============================================================================
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 275
R² 0.9666
coef (ms) 0.001997
p-value 1.00e-03
95% CI [0.001956, 0.002045]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.966
No. Observations: 275 RMSE: 8.87
Df Residuals: 273 MAE: 7.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.8240 1.7108 0.001 24.4121 31.0586
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 264
R² 0.8707
coef (ms) 0.02166
p-value 1.00e-03
95% CI [0.02057, 0.0228]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 264 RMSE: 199.53
Df Residuals: 262 MAE: 169.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 683.2234 48.4711 0.001 586.5956 780.4799
opcount 0.0217 0.0006 0.001 0.0206 0.0228
==============================================================================
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 165
R² 0.92
coef (ms) 0.003414
p-value 1.00e-03
95% CI [0.003257, 0.003587]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.919
No. Observations: 165 RMSE: 24.07
Df Residuals: 163 MAE: 18.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.9639 5.5501 0.001 72.2480 94.2339
opcount 0.0034 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.EXISTING_CONTRACT · besu
nobs 418
R² 0.8876
coef (ms) 0.02589
p-value 1.00e-03
95% CI [0.02506, 0.02678]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.887
No. Observations: 418 RMSE: 191.67
Df Residuals: 416 MAE: 156.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 391.4834 28.7027 0.001 334.0638 447.8835
opcount 0.0259 0.0004 0.001 0.0251 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.9258
coef (ms) 0.02439
p-value 1.00e-03
95% CI [0.02347, 0.02529]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.925
No. Observations: 198 RMSE: 143.67
Df Residuals: 196 MAE: 120.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 293.4555 33.8122 0.001 224.7482 361.9880
opcount 0.0244 0.0005 0.001 0.0235 0.0253
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.9938
coef (ms) 0.007754
p-value 1.00e-03
95% CI [0.007683, 0.007825]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 12.72
Df Residuals: 273 MAE: 9.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.3429 2.3737 0.001 36.4692 46.0529
opcount 0.0078 0.0000 0.001 0.0077 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · geth
nobs 264
R² 0.8614
coef (ms) 0.02305
p-value 1.00e-03
95% CI [0.02187, 0.02425]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.861
No. Observations: 264 RMSE: 192.42
Df Residuals: 262 MAE: 162.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 654.7623 46.1604 0.001 566.1407 743.7781
opcount 0.0231 0.0006 0.001 0.0219 0.0242
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 165
R² 0.8318
coef (ms) 0.009928
p-value 1.00e-03
95% CI [0.009373, 0.01057]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 165 RMSE: 92.88
Df Residuals: 163 MAE: 60.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 150.8512 19.7703 0.001 110.8331 187.8401
opcount 0.0099 0.0003 0.001 0.0094 0.0106
==============================================================================
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 418
R² 0.8548
coef (ms) 0.01268
p-value 1.00e-03
95% CI [0.01224, 0.01316]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.855
Model: NNLS Adj. R-squared: 0.854
No. Observations: 418 RMSE: 124.88
Df Residuals: 416 MAE: 106.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 234.8429 18.1565 0.001 199.1383 268.3032
opcount 0.0127 0.0002 0.001 0.0122 0.0132
==============================================================================
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 0.9682
coef (ms) 0.008554
p-value 1.00e-03
95% CI [0.00848, 0.008631]
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: 38.20
Df Residuals: 196 MAE: 31.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0827 1.000 0.0000 0.0000
opcount 0.0086 0.0000 0.001 0.0085 0.0086
==============================================================================
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 275
R² 0.9666
coef (ms) 0.001997
p-value 1.00e-03
95% CI [0.001956, 0.002045]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.966
No. Observations: 275 RMSE: 8.87
Df Residuals: 273 MAE: 7.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.8240 1.7108 0.001 24.4121 31.0586
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.8707
coef (ms) 0.02166
p-value 1.00e-03
95% CI [0.02057, 0.0228]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 264 RMSE: 199.53
Df Residuals: 262 MAE: 169.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 683.2234 48.4711 0.001 586.5956 780.4799
opcount 0.0217 0.0006 0.001 0.0206 0.0228
==============================================================================
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 165
R² 0.92
coef (ms) 0.003414
p-value 1.00e-03
95% CI [0.003257, 0.003587]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.919
No. Observations: 165 RMSE: 24.07
Df Residuals: 163 MAE: 18.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.9639 5.5501 0.001 72.2480 94.2339
opcount 0.0034 0.0001 0.001 0.0033 0.0036
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · besu
nobs 418
R² 0.2227
coef (ms) 7.644e-05
p-value 1.00e-03
95% CI [6.233e-05, 9.034e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.223
Model: NNLS Adj. R-squared: 0.221
No. Observations: 418 RMSE: 83.51
Df Residuals: 416 MAE: 62.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 189.7868 12.8642 0.001 164.7834 216.6984
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 0.919
coef (ms) 0.0003271
p-value 1.00e-03
95% CI [0.0003147, 0.0003401]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.919
No. Observations: 198 RMSE: 56.81
Df Residuals: 196 MAE: 46.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.7957 10.7391 0.001 11.1566 54.7670
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 275
R² 0.1747
coef (ms) 1.079e-05
p-value 1.00e-03
95% CI [7.709e-06, 1.379e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.175
Model: NNLS Adj. R-squared: 0.172
No. Observations: 275 RMSE: 13.71
Df Residuals: 273 MAE: 8.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.2337 3.2270 0.001 11.9039 24.8535
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 264
R² 0.8054
coef (ms) 3.981e-05
p-value 1.00e-03
95% CI [3.733e-05, 4.216e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.805
No. Observations: 264 RMSE: 11.44
Df Residuals: 262 MAE: 9.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.4389 2.1534 0.001 17.1959 25.6209
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 165
R² 0.6667
coef (ms) 0.0001827
p-value 1.00e-03
95% CI [0.000164, 0.000204]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.667
Model: NNLS Adj. R-squared: 0.665
No. Observations: 165 RMSE: 75.52
Df Residuals: 163 MAE: 57.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 173.2199 18.1798 0.001 136.5357 208.5642
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
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 418
R² 0.8592
coef (ms) 0.01279
p-value 1.00e-03
95% CI [0.01231, 0.01323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 418 RMSE: 123.78
Df Residuals: 416 MAE: 107.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 225.1738 18.0327 0.001 192.5616 261.1569
opcount 0.0128 0.0002 0.001 0.0123 0.0132
==============================================================================
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 0.9637
coef (ms) 0.00868
p-value 1.00e-03
95% CI [0.008597, 0.008768]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.963
No. Observations: 198 RMSE: 41.17
Df Residuals: 196 MAE: 33.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.3611 1.000 0.0000 0.0000
opcount 0.0087 0.0000 0.001 0.0086 0.0088
==============================================================================
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 275
R² 0.9639
coef (ms) 0.001962
p-value 1.00e-03
95% CI [0.00192, 0.002007]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 275 RMSE: 9.08
Df Residuals: 273 MAE: 7.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.7338 1.7567 0.001 25.1003 32.0048
opcount 0.0020 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 264
R² 0.864
coef (ms) 0.02162
p-value 1.00e-03
95% CI [0.02056, 0.02271]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 264 RMSE: 205.05
Df Residuals: 262 MAE: 173.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 684.8575 46.4451 0.001 593.4647 777.0107
opcount 0.0216 0.0005 0.001 0.0206 0.0227
==============================================================================
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 165
R² 0.9296
coef (ms) 0.003561
p-value 1.00e-03
95% CI [0.003407, 0.003725]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.929
No. Observations: 165 RMSE: 23.42
Df Residuals: 163 MAE: 17.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.5644 5.4831 0.001 61.6689 83.3293
opcount 0.0036 0.0001 0.001 0.0034 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · besu
nobs 418
R² 0.8793
coef (ms) 0.02574
p-value 1.00e-03
95% CI [0.02488, 0.02658]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.879
No. Observations: 418 RMSE: 198.45
Df Residuals: 416 MAE: 162.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 402.1491 29.4502 0.001 344.2901 460.1134
opcount 0.0257 0.0004 0.001 0.0249 0.0266
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.9282
coef (ms) 0.02494
p-value 1.00e-03
95% CI [0.02388, 0.02581]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 198 RMSE: 144.34
Df Residuals: 196 MAE: 120.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 305.3607 36.5516 0.001 239.4140 381.3157
opcount 0.0249 0.0005 0.001 0.0239 0.0258
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.9934
coef (ms) 0.007704
p-value 1.00e-03
95% CI [0.007633, 0.007782]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 275 RMSE: 13.07
Df Residuals: 273 MAE: 10.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.1905 2.3936 0.001 39.0620 48.6056
opcount 0.0077 0.0000 0.001 0.0076 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · geth
nobs 264
R² 0.86
coef (ms) 0.02285
p-value 1.00e-03
95% CI [0.02163, 0.02408]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.860
Model: NNLS Adj. R-squared: 0.859
No. Observations: 264 RMSE: 191.86
Df Residuals: 262 MAE: 159.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 672.8867 46.7871 0.001 579.6960 762.7510
opcount 0.0229 0.0006 0.001 0.0216 0.0241
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 165
R² 0.8504
coef (ms) 0.01006
p-value 1.00e-03
95% CI [0.009439, 0.01066]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.849
No. Observations: 165 RMSE: 87.74
Df Residuals: 163 MAE: 59.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 137.5965 19.9862 0.001 99.1946 178.2512
opcount 0.0101 0.0003 0.001 0.0094 0.0107
==============================================================================
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 418
R² 0.8592
coef (ms) 0.01279
p-value 1.00e-03
95% CI [0.01231, 0.01323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 418 RMSE: 123.78
Df Residuals: 416 MAE: 107.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 225.1738 18.0327 0.001 192.5616 261.1569
opcount 0.0128 0.0002 0.001 0.0123 0.0132
==============================================================================
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 0.9637
coef (ms) 0.00868
p-value 1.00e-03
95% CI [0.008597, 0.008768]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.963
No. Observations: 198 RMSE: 41.17
Df Residuals: 196 MAE: 33.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.3611 1.000 0.0000 0.0000
opcount 0.0087 0.0000 0.001 0.0086 0.0088
==============================================================================
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 275
R² 0.9639
coef (ms) 0.001962
p-value 1.00e-03
95% CI [0.00192, 0.002007]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.964
No. Observations: 275 RMSE: 9.08
Df Residuals: 273 MAE: 7.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.7338 1.7567 0.001 25.1003 32.0048
opcount 0.0020 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.864
coef (ms) 0.02162
p-value 1.00e-03
95% CI [0.02056, 0.02271]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 264 RMSE: 205.05
Df Residuals: 262 MAE: 173.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 684.8575 46.4451 0.001 593.4647 777.0107
opcount 0.0216 0.0005 0.001 0.0206 0.0227
==============================================================================
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 165
R² 0.9296
coef (ms) 0.003561
p-value 1.00e-03
95% CI [0.003407, 0.003725]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.929
No. Observations: 165 RMSE: 23.42
Df Residuals: 163 MAE: 17.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.5644 5.4831 0.001 61.6689 83.3293
opcount 0.0036 0.0001 0.001 0.0034 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · besu
nobs 418
R² 0.2081
coef (ms) 7.36e-05
p-value 1.00e-03
95% CI [5.854e-05, 8.622e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.208
Model: NNLS Adj. R-squared: 0.206
No. Observations: 418 RMSE: 83.97
Df Residuals: 416 MAE: 63.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 194.8540 12.9466 0.001 171.2924 221.4060
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 0.8926
coef (ms) 4.826e-05
p-value 1.00e-03
95% CI [4.592e-05, 5.058e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.893
Model: NNLS Adj. R-squared: 0.892
No. Observations: 198 RMSE: 9.79
Df Residuals: 196 MAE: 7.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2571 2.0212 0.001 23.4577 31.1660
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · ethrex
nobs 275
R² 0.2632
coef (ms) 1.322e-05
p-value 1.00e-03
95% CI [1.067e-05, 1.584e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.263
Model: NNLS Adj. R-squared: 0.260
No. Observations: 275 RMSE: 12.93
Df Residuals: 273 MAE: 8.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.0092 2.6841 0.001 9.8074 20.1367
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 264
R² 0.7718
coef (ms) 3.176e-05
p-value 1.00e-03
95% CI [2.979e-05, 3.373e-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: 264 RMSE: 10.10
Df Residuals: 262 MAE: 8.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.9632 1.6778 0.001 13.7101 20.4288
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 165
R² 0.7068
coef (ms) 0.0001492
p-value 1.00e-03
95% CI [0.0001357, 0.0001633]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.707
Model: NNLS Adj. R-squared: 0.705
No. Observations: 165 RMSE: 56.21
Df Residuals: 163 MAE: 45.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 174.6640 12.2634 0.001 150.3644 197.9232
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · besu
nobs 418
R² 0.7818
coef (ms) 0.01451
p-value 1.00e-03
95% CI [0.01376, 0.01519]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.781
No. Observations: 418 RMSE: 182.23
Df Residuals: 416 MAE: 155.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 633.9301 27.3681 0.001 581.7581 690.8664
opcount 0.0145 0.0004 0.001 0.0138 0.0152
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 198
R² 0.9672
coef (ms) 0.01054
p-value 1.00e-03
95% CI [0.01025, 0.01071]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 198 RMSE: 46.18
Df Residuals: 196 MAE: 38.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.0238 7.8971 0.234 0.0000 27.6078
opcount 0.0105 0.0001 0.001 0.0103 0.0107
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · ethrex
nobs 275
R² 0.994
coef (ms) 0.007237
p-value 1.00e-03
95% CI [0.007162, 0.007307]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 13.37
Df Residuals: 273 MAE: 10.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.2165 2.7080 0.001 43.3136 53.7902
opcount 0.0072 0.0000 0.001 0.0072 0.0073
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · geth
nobs 264
R² 0.9007
coef (ms) 0.0111
p-value 1.00e-03
95% CI [0.0106, 0.01155]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.900
No. Observations: 264 RMSE: 87.59
Df Residuals: 262 MAE: 73.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 402.9466 20.9368 0.001 364.8757 445.1857
opcount 0.0111 0.0002 0.001 0.0106 0.0115
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 165
R² 0.9099
coef (ms) 0.003866
p-value 1.00e-03
95% CI [0.003669, 0.004047]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.909
No. Observations: 165 RMSE: 28.92
Df Residuals: 163 MAE: 22.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 110.1135 6.5081 0.001 97.4787 123.7003
opcount 0.0039 0.0001 0.001 0.0037 0.0040
==============================================================================
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 418
R² 0.8526
coef (ms) 0.01499
p-value 1.00e-03
95% CI [0.01438, 0.0156]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 418 RMSE: 148.12
Df Residuals: 416 MAE: 124.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 324.3908 23.5607 0.001 275.1557 369.3840
opcount 0.0150 0.0003 0.001 0.0144 0.0156
==============================================================================
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 0.9574
coef (ms) 0.01213
p-value 1.00e-03
95% CI [0.01199, 0.01226]
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: 65.39
Df Residuals: 196 MAE: 53.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0121 0.0001 0.001 0.0120 0.0123
==============================================================================
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 275
R² 0.962
coef (ms) 0.002017
p-value 1.00e-03
95% CI [0.001966, 0.002063]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 275 RMSE: 9.53
Df Residuals: 273 MAE: 7.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4661 2.0144 0.001 27.9270 35.6720
opcount 0.0020 0.0000 0.001 0.0020 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 264
R² 0.868
coef (ms) 0.02253
p-value 1.00e-03
95% CI [0.0214, 0.02367]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 264 RMSE: 208.88
Df Residuals: 262 MAE: 177.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 706.6052 48.4932 0.001 610.6142 799.8592
opcount 0.0225 0.0006 0.001 0.0214 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 165
R² 0.9161
coef (ms) 0.003722
p-value 1.00e-03
95% CI [0.003553, 0.003893]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.916
Model: NNLS Adj. R-squared: 0.916
No. Observations: 165 RMSE: 26.78
Df Residuals: 163 MAE: 21.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.1543 6.4287 0.001 73.6111 98.5193
opcount 0.0037 0.0001 0.001 0.0036 0.0039
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · besu
nobs 418
R² 0.8811
coef (ms) 0.02764
p-value 1.00e-03
95% CI [0.02664, 0.02858]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 418 RMSE: 206.84
Df Residuals: 416 MAE: 172.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 460.4429 32.4046 0.001 398.9471 526.5538
opcount 0.0276 0.0005 0.001 0.0266 0.0286
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 198
R² 0.9236
coef (ms) 0.02549
p-value 1.00e-03
95% CI [0.02447, 0.02634]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.923
No. Observations: 198 RMSE: 149.34
Df Residuals: 196 MAE: 125.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 309.0285 34.4653 0.001 249.5175 382.0230
opcount 0.0255 0.0005 0.001 0.0245 0.0263
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.993
coef (ms) 0.007904
p-value 1.00e-03
95% CI [0.007832, 0.007973]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 275 RMSE: 13.54
Df Residuals: 273 MAE: 10.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.7153 2.3223 0.001 35.2849 44.1533
opcount 0.0079 0.0000 0.001 0.0078 0.0080
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 264
R² 0.8655
coef (ms) 0.02356
p-value 1.00e-03
95% CI [0.02231, 0.02475]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.865
No. Observations: 264 RMSE: 189.20
Df Residuals: 262 MAE: 159.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 644.3366 45.9527 0.001 559.3431 738.5432
opcount 0.0236 0.0006 0.001 0.0223 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 165
R² 0.8476
coef (ms) 0.01072
p-value 1.00e-03
95% CI [0.01012, 0.0113]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.847
No. Observations: 165 RMSE: 92.61
Df Residuals: 163 MAE: 63.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 188.7540 21.3937 0.001 150.7151 230.0020
opcount 0.0107 0.0003 0.001 0.0101 0.0113
==============================================================================
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 418
R² 0.8526
coef (ms) 0.01499
p-value 1.00e-03
95% CI [0.01438, 0.0156]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 418 RMSE: 148.12
Df Residuals: 416 MAE: 124.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 324.3908 23.5607 0.001 275.1557 369.3840
opcount 0.0150 0.0003 0.001 0.0144 0.0156
==============================================================================
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 0.9574
coef (ms) 0.01213
p-value 1.00e-03
95% CI [0.01199, 0.01226]
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: 65.39
Df Residuals: 196 MAE: 53.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0121 0.0001 0.001 0.0120 0.0123
==============================================================================
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 275
R² 0.962
coef (ms) 0.002017
p-value 1.00e-03
95% CI [0.001966, 0.002063]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 275 RMSE: 9.53
Df Residuals: 273 MAE: 7.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.4661 2.0144 0.001 27.9270 35.6720
opcount 0.0020 0.0000 0.001 0.0020 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 264
R² 0.868
coef (ms) 0.02253
p-value 1.00e-03
95% CI [0.0214, 0.02367]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 264 RMSE: 208.88
Df Residuals: 262 MAE: 177.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 706.6052 48.4932 0.001 610.6142 799.8592
opcount 0.0225 0.0006 0.001 0.0214 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 165
R² 0.9161
coef (ms) 0.003722
p-value 1.00e-03
95% CI [0.003553, 0.003893]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.916
Model: NNLS Adj. R-squared: 0.916
No. Observations: 165 RMSE: 26.78
Df Residuals: 163 MAE: 21.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.1543 6.4287 0.001 73.6111 98.5193
opcount 0.0037 0.0001 0.001 0.0036 0.0039
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · besu
nobs 418
R² 0.6555
coef (ms) 0.0004019
p-value 1.00e-03
95% CI [0.0003744, 0.0004322]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.656
Model: NNLS Adj. R-squared: 0.655
No. Observations: 418 RMSE: 150.83
Df Residuals: 416 MAE: 115.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 468.9577 22.6049 0.001 423.3236 511.7253
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 · erigon
nobs 198
R² 0.9208
coef (ms) 0.0005519
p-value 1.00e-03
95% CI [0.0005305, 0.0005739]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.921
Model: NNLS Adj. R-squared: 0.920
No. Observations: 198 RMSE: 83.78
Df Residuals: 196 MAE: 68.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.9588 17.1292 0.001 18.5449 85.7128
opcount 0.0006 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 · ethrex
nobs 275
R² 0.9449
coef (ms) 0.0001002
p-value 1.00e-03
95% CI [9.752e-05, 0.000103]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.945
Model: NNLS Adj. R-squared: 0.945
No. Observations: 275 RMSE: 12.53
Df Residuals: 273 MAE: 9.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.0223 2.4478 0.001 33.3590 42.8581
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 264
R² 0.8764
coef (ms) 0.0001829
p-value 1.00e-03
95% CI [0.0001739, 0.0001913]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.876
No. Observations: 264 RMSE: 35.55
Df Residuals: 262 MAE: 27.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.1298 6.3295 0.001 34.9717 59.7947
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 165
R² 0.7963
coef (ms) 0.0003019
p-value 1.00e-03
95% CI [0.0002779, 0.0003297]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.796
Model: NNLS Adj. R-squared: 0.795
No. Observations: 165 RMSE: 79.05
Df Residuals: 163 MAE: 58.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 179.0532 18.8229 0.001 139.7870 213.3079
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================
