Runtime model results
Per-spec NNLS fits of test runtime against opcode count — one block per (target opcode, test, model combo, client). Use the filters to narrow to a single opcode or client.
Plots omitted. This is an older archived run; only the 5 most recent runs retain the runtime plots. The per-fit stats and NNLS summaries below are unchanged.
SLOAD · test_sload_bloated · combo False · besu
nobs 341
R² 0.9601
coef (ms) 0.007121
p-value 1.00e-03
95% CI [0.006952, 0.007291]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.960
Model: NNLS Adj. R-squared: 0.960
No. Observations: 341 RMSE: 42.73
Df Residuals: 339 MAE: 35.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 192.3359 7.3219 0.001 177.3223 206.2391
opcount 0.0071 0.0001 0.001 0.0070 0.0073
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · erigon
nobs 176
R² 0.9949
coef (ms) 0.006256
p-value 1.00e-03
95% CI [0.006191, 0.006323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 176 RMSE: 13.12
Df Residuals: 174 MAE: 10.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.7778 2.8612 0.001 13.2755 24.3937
opcount 0.0063 0.0000 0.001 0.0062 0.0063
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · ethrex
nobs 99
R² 0.8907
coef (ms) 0.007564
p-value 1.00e-03
95% CI [0.00734, 0.007747]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.890
No. Observations: 99 RMSE: 103.96
Df Residuals: 97 MAE: 90.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0076 0.0001 0.001 0.0073 0.0077
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 264
R² 0.8757
coef (ms) 0.003612
p-value 1.00e-03
95% CI [0.003447, 0.003771]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.875
No. Observations: 264 RMSE: 40.06
Df Residuals: 262 MAE: 32.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 128.6141 8.5172 0.001 112.8452 144.9874
opcount 0.0036 0.0001 0.001 0.0034 0.0038
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 451
R² 0.948
coef (ms) 0.001302
p-value 1.00e-03
95% CI [0.00127, 0.001333]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.948
No. Observations: 451 RMSE: 8.97
Df Residuals: 449 MAE: 6.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.1720 1.6386 0.001 35.1793 41.5367
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · besu
nobs 341
R² 0.9037
coef (ms) 0.01586
p-value 1.00e-03
95% CI [0.0153, 0.01644]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.903
No. Observations: 341 RMSE: 152.38
Df Residuals: 339 MAE: 127.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 488.3762 25.7750 0.001 436.9223 536.4357
opcount 0.0159 0.0003 0.001 0.0153 0.0164
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 176
R² 0.987
coef (ms) 0.00582
p-value 1.00e-03
95% CI [0.005726, 0.005926]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.987
Model: NNLS Adj. R-squared: 0.987
No. Observations: 176 RMSE: 19.64
Df Residuals: 174 MAE: 16.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.6695 4.5294 0.001 19.4190 37.4673
opcount 0.0058 0.0001 0.001 0.0057 0.0059
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · ethrex
nobs 99
R² 0.9921
coef (ms) 0.03358
p-value 1.00e-03
95% CI [0.033, 0.03411]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 99 RMSE: 88.08
Df Residuals: 97 MAE: 69.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 202.8739 28.1085 0.001 147.7840 257.9904
opcount 0.0336 0.0003 0.001 0.0330 0.0341
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 264
R² 0.5293
coef (ms) 0.02467
p-value 1.00e-03
95% CI [0.02183, 0.02742]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.529
Model: NNLS Adj. R-squared: 0.527
No. Observations: 264 RMSE: 684.82
Df Residuals: 262 MAE: 585.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1209.3325 139.8435 0.001 941.5033 1484.5021
opcount 0.0247 0.0015 0.001 0.0218 0.0274
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 451
R² 0.9583
coef (ms) 0.00144
p-value 1.00e-03
95% CI [0.001407, 0.001472]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 451 RMSE: 8.83
Df Residuals: 449 MAE: 6.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.0955 1.3843 0.001 27.5575 32.7914
opcount 0.0014 0.0000 0.001 0.0014 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · besu
nobs 682
R² 0.8061
coef (ms) 0.0001367
p-value 1.00e-03
95% CI [0.0001316, 0.000142]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.806
No. Observations: 682 RMSE: 42.35
Df Residuals: 680 MAE: 32.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.3506 4.8705 0.001 95.7983 115.1725
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 352
R² 0.8576
coef (ms) 4.908e-05
p-value 1.00e-03
95% CI [4.705e-05, 5.118e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.857
No. Observations: 352 RMSE: 12.63
Df Residuals: 350 MAE: 10.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.3040 1.9035 0.001 36.7054 43.9852
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · ethrex
nobs 198
R² 0.8619
coef (ms) 1.957e-05
p-value 1.00e-03
95% CI [1.845e-05, 2.072e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.862
Model: NNLS Adj. R-squared: 0.861
No. Observations: 198 RMSE: 4.95
Df Residuals: 196 MAE: 3.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.8223 1.1085 0.001 9.7160 13.9257
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 528
R² 0.8711
coef (ms) 0.000181
p-value 1.00e-03
95% CI [0.0001751, 0.0001867]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 528 RMSE: 43.98
Df Residuals: 526 MAE: 32.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 94.1125 5.9719 0.001 83.4610 106.9790
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · reth
nobs 902
R² 0.704
coef (ms) 5.233e-06
p-value 1.00e-03
95% CI [5.022e-06, 5.438e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.704
Model: NNLS Adj. R-squared: 0.704
No. Observations: 902 RMSE: 2.14
Df Residuals: 900 MAE: 1.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.3236 0.2162 0.001 4.9169 5.7307
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · besu
nobs 341
R² 0.6996
coef (ms) 0.007232
p-value 1.00e-03
95% CI [0.006736, 0.007708]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.700
Model: NNLS Adj. R-squared: 0.699
No. Observations: 341 RMSE: 133.93
Df Residuals: 339 MAE: 110.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 544.8101 20.5796 0.001 506.1458 584.2544
opcount 0.0072 0.0003 0.001 0.0067 0.0077
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 176
R² 0.9944
coef (ms) 0.006212
p-value 1.00e-03
95% CI [0.006141, 0.006291]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 176 RMSE: 13.15
Df Residuals: 174 MAE: 10.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.8587 3.1108 0.001 15.5863 28.0412
opcount 0.0062 0.0000 0.001 0.0061 0.0063
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · ethrex
nobs 99
R² 0.8916
coef (ms) 0.007341
p-value 1.00e-03
95% CI [0.007128, 0.007544]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.890
No. Observations: 99 RMSE: 96.71
Df Residuals: 97 MAE: 83.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0073 0.0001 0.001 0.0071 0.0075
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 264
R² 0.8337
coef (ms) 0.003479
p-value 1.00e-03
95% CI [0.003286, 0.003669]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.833
No. Observations: 264 RMSE: 43.90
Df Residuals: 262 MAE: 35.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.5030 8.9729 0.001 115.5482 151.2554
opcount 0.0035 0.0001 0.001 0.0033 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 451
R² 0.9558
coef (ms) 0.001319
p-value 1.00e-03
95% CI [0.001294, 0.001346]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 451 RMSE: 8.02
Df Residuals: 449 MAE: 6.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.2343 1.3202 0.001 37.6179 42.8177
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · besu
nobs 341
R² 0.8956
coef (ms) 0.01723
p-value 1.00e-03
95% CI [0.01658, 0.01787]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.895
No. Observations: 341 RMSE: 166.32
Df Residuals: 339 MAE: 137.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 606.9794 30.2892 0.001 549.3446 667.1532
opcount 0.0172 0.0003 0.001 0.0166 0.0179
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 176
R² 0.982
coef (ms) 0.005693
p-value 1.00e-03
95% CI [0.005585, 0.005794]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 176 RMSE: 21.77
Df Residuals: 174 MAE: 18.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.9097 4.7904 0.001 23.9308 42.7097
opcount 0.0057 0.0001 0.001 0.0056 0.0058
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · ethrex
nobs 99
R² 0.9935
coef (ms) 0.03309
p-value 1.00e-03
95% CI [0.03251, 0.03362]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.993
No. Observations: 99 RMSE: 75.48
Df Residuals: 97 MAE: 55.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 263.6641 26.0705 0.001 215.5166 317.3797
opcount 0.0331 0.0003 0.001 0.0325 0.0336
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · nethermind
nobs 264
R² 0.5429
coef (ms) 0.02553
p-value 1.00e-03
95% CI [0.02266, 0.02827]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.543
Model: NNLS Adj. R-squared: 0.541
No. Observations: 264 RMSE: 662.07
Df Residuals: 262 MAE: 567.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1110.0899 132.3509 0.001 867.9993 1375.5809
opcount 0.0255 0.0015 0.001 0.0227 0.0283
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 451
R² 0.9707
coef (ms) 0.001478
p-value 1.00e-03
95% CI [0.001454, 0.0015]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 451 RMSE: 7.25
Df Residuals: 449 MAE: 5.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.8503 1.0298 0.001 27.9532 32.0615
opcount 0.0015 0.0000 0.001 0.0015 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · besu
nobs 341
R² 0.1524
coef (ms) 0.1051
p-value 1.00e-03
95% CI [0.08142, 0.1299]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.152
Model: NNLS Adj. R-squared: 0.150
No. Observations: 341 RMSE: 152.15
Df Residuals: 339 MAE: 129.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 537.7978 23.1929 0.001 492.4433 581.2078
opcount 0.1051 0.0127 0.001 0.0814 0.1299
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 176
R² 0.7269
coef (ms) 1.038
p-value 1.00e-03
95% CI [0.9377, 1.122]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.727
Model: NNLS Adj. R-squared: 0.725
No. Observations: 176 RMSE: 390.63
Df Residuals: 174 MAE: 319.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3071.8439 109.8984 0.001 2871.3416 3313.2158
opcount 1.0377 0.0471 0.001 0.9377 1.1218
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · ethrex
nobs 99
R² 0.9964
coef (ms) 0.3339
p-value 1.00e-03
95% CI [0.3297, 0.3381]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 99 RMSE: 12.29
Df Residuals: 97 MAE: 9.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.2754 4.1413 0.001 38.9224 54.4557
opcount 0.3339 0.0022 0.001 0.3297 0.3381
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 264
R² 0.6841
coef (ms) 0.07107
p-value 1.00e-03
95% CI [0.06535, 0.07661]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.684
Model: NNLS Adj. R-squared: 0.683
No. Observations: 264 RMSE: 29.66
Df Residuals: 262 MAE: 24.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.8615 5.5911 0.001 94.6393 117.0650
opcount 0.0711 0.0028 0.001 0.0653 0.0766
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 451
R² 0.007197
coef (ms) 0.009334
p-value 8.50e-02
95% CI [0, 0.02372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.007
Model: NNLS Adj. R-squared: 0.005
No. Observations: 451 RMSE: 67.33
Df Residuals: 449 MAE: 51.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 303.1602 14.8985 0.001 269.4356 326.7644
opcount 0.0093 0.0064 0.085 0.0000 0.0237
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 341
R² 0.9204
coef (ms) 0.1022
p-value 1.00e-03
95% CI [0.09875, 0.106]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.920
No. Observations: 341 RMSE: 376.29
Df Residuals: 339 MAE: 302.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 923.2159 68.0879 0.001 772.2922 1061.4048
opcount 0.1022 0.0018 0.001 0.0988 0.1060
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 176
R² 0.9946
coef (ms) 0.5655
p-value 1.00e-03
95% CI [0.5594, 0.572]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 176 RMSE: 521.78
Df Residuals: 174 MAE: 412.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5787.3635 111.7295 0.001 5553.9972 6010.2541
opcount 0.5655 0.0032 0.001 0.5594 0.5720
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · ethrex
nobs 99
R² 0.9982
coef (ms) 0.2652
p-value 1.00e-03
95% CI [0.2629, 0.2677]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.998
Model: NNLS Adj. R-squared: 0.998
No. Observations: 99 RMSE: 140.20
Df Residuals: 97 MAE: 117.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1722.9416 48.5433 0.001 1631.8636 1822.4407
opcount 0.2652 0.0012 0.001 0.2629 0.2677
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 264
R² 0.8381
coef (ms) 0.05539
p-value 1.00e-03
95% CI [0.05246, 0.05846]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.837
No. Observations: 264 RMSE: 304.95
Df Residuals: 262 MAE: 263.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 950.5126 58.7964 0.001 833.9133 1069.7004
opcount 0.0554 0.0015 0.001 0.0525 0.0585
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 451
R² 0.9926
coef (ms) 0.1477
p-value 1.00e-03
95% CI [0.1465, 0.1489]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 451 RMSE: 159.63
Df Residuals: 449 MAE: 125.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1287.0547 21.9716 0.001 1243.5049 1330.5398
opcount 0.1477 0.0006 0.001 0.1465 0.1489
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 341
R² 0.8259
coef (ms) 0.009457
p-value 1.00e-03
95% CI [0.008899, 0.01006]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.825
No. Observations: 341 RMSE: 103.77
Df Residuals: 339 MAE: 82.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 411.8807 26.2331 0.001 358.8897 461.5426
opcount 0.0095 0.0003 0.001 0.0089 0.0101
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 176
R² 0.9956
coef (ms) 0.009898
p-value 1.00e-03
95% CI [0.0098, 0.009995]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 15.69
Df Residuals: 174 MAE: 12.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.5585 3.6609 0.001 29.4746 43.5845
opcount 0.0099 0.0001 0.001 0.0098 0.0100
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · ethrex
nobs 99
R² 0.9748
coef (ms) 0.02425
p-value 1.00e-03
95% CI [0.02334, 0.02512]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 99 RMSE: 93.20
Df Residuals: 97 MAE: 82.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 386.8498 38.0823 0.001 315.4046 464.8910
opcount 0.0242 0.0005 0.001 0.0233 0.0251
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 264
R² 0.9049
coef (ms) 0.003698
p-value 1.00e-03
95% CI [0.003555, 0.003842]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.905
Model: NNLS Adj. R-squared: 0.905
No. Observations: 264 RMSE: 28.66
Df Residuals: 262 MAE: 19.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 85.8725 5.4136 0.001 75.7429 96.9233
opcount 0.0037 0.0001 0.001 0.0036 0.0038
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 451
R² 0.9767
coef (ms) 0.001091
p-value 1.00e-03
95% CI [0.001076, 0.001106]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 451 RMSE: 4.03
Df Residuals: 449 MAE: 3.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.7331 0.6308 0.001 30.5010 32.9571
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.9178
coef (ms) 0.009517
p-value 1.00e-03
95% CI [0.009207, 0.009857]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 341 RMSE: 68.09
Df Residuals: 339 MAE: 56.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 387.4098 13.8790 0.001 360.0069 411.8084
opcount 0.0095 0.0002 0.001 0.0092 0.0099
==============================================================================
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 176
R² 0.9965
coef (ms) 0.009069
p-value 1.00e-03
95% CI [0.008991, 0.009144]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 12.93
Df Residuals: 174 MAE: 10.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6913 3.1494 0.001 5.6803 17.8783
opcount 0.0091 0.0000 0.001 0.0090 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 99
R² 0.9945
coef (ms) 0.002636
p-value 1.00e-03
95% CI [0.002623, 0.002649]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 99 RMSE: 4.78
Df Residuals: 97 MAE: 3.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0658 1.000 0.0000 0.0000
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
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 264
R² 0.9286
coef (ms) 0.003524
p-value 1.00e-03
95% CI [0.003371, 0.00366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.928
No. Observations: 264 RMSE: 23.35
Df Residuals: 262 MAE: 17.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.9063 6.0162 0.001 90.9438 113.9719
opcount 0.0035 0.0001 0.001 0.0034 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9714
coef (ms) 0.0009283
p-value 1.00e-03
95% CI [0.0009122, 0.0009422]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 451 RMSE: 3.81
Df Residuals: 449 MAE: 3.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8672 0.6241 0.001 29.7097 32.1919
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.9405
coef (ms) 0.02577
p-value 1.00e-03
95% CI [0.02501, 0.02655]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.940
No. Observations: 341 RMSE: 134.89
Df Residuals: 339 MAE: 116.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 470.4383 27.6602 0.001 413.5567 522.7499
opcount 0.0258 0.0004 0.001 0.0250 0.0265
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 176
R² 0.8982
coef (ms) 0.03676
p-value 1.00e-03
95% CI [0.03484, 0.03847]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.898
No. Observations: 176 RMSE: 257.51
Df Residuals: 174 MAE: 218.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 453.7079 70.1223 0.001 326.1948 602.7521
opcount 0.0368 0.0009 0.001 0.0348 0.0385
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 99
R² 0.9724
coef (ms) 0.02491
p-value 1.00e-03
95% CI [0.02395, 0.02595]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 99 RMSE: 87.33
Df Residuals: 97 MAE: 74.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 372.0147 38.7357 0.001 296.3299 445.8034
opcount 0.0249 0.0005 0.001 0.0239 0.0260
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 264
R² 0.7069
coef (ms) 0.02442
p-value 1.00e-03
95% CI [0.02232, 0.02648]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.707
Model: NNLS Adj. R-squared: 0.706
No. Observations: 264 RMSE: 327.16
Df Residuals: 262 MAE: 275.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 793.2201 72.0944 0.001 655.5150 938.4252
opcount 0.0244 0.0010 0.001 0.0223 0.0265
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 451
R² 0.7835
coef (ms) 0.03108
p-value 1.00e-03
95% CI [0.02952, 0.03263]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.783
No. Observations: 451 RMSE: 339.94
Df Residuals: 449 MAE: 239.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 627.6940 56.5096 0.001 521.8479 734.2942
opcount 0.0311 0.0008 0.001 0.0295 0.0326
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.9178
coef (ms) 0.009517
p-value 1.00e-03
95% CI [0.009207, 0.009857]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 341 RMSE: 68.09
Df Residuals: 339 MAE: 56.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 387.4098 13.8790 0.001 360.0069 411.8084
opcount 0.0095 0.0002 0.001 0.0092 0.0099
==============================================================================
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 176
R² 0.9965
coef (ms) 0.009069
p-value 1.00e-03
95% CI [0.008991, 0.009144]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 12.93
Df Residuals: 174 MAE: 10.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.6913 3.1494 0.001 5.6803 17.8783
opcount 0.0091 0.0000 0.001 0.0090 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 99
R² 0.9945
coef (ms) 0.002636
p-value 1.00e-03
95% CI [0.002623, 0.002649]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 99 RMSE: 4.78
Df Residuals: 97 MAE: 3.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0658 1.000 0.0000 0.0000
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
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 264
R² 0.9286
coef (ms) 0.003524
p-value 1.00e-03
95% CI [0.003371, 0.00366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.928
No. Observations: 264 RMSE: 23.35
Df Residuals: 262 MAE: 17.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.9063 6.0162 0.001 90.9438 113.9719
opcount 0.0035 0.0001 0.001 0.0034 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.9714
coef (ms) 0.0009283
p-value 1.00e-03
95% CI [0.0009122, 0.0009422]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 451 RMSE: 3.81
Df Residuals: 449 MAE: 3.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.8672 0.6241 0.001 29.7097 32.1919
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 341
R² 0.7703
coef (ms) 0.0001681
p-value 1.00e-03
95% CI [0.0001578, 0.0001784]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.770
No. Observations: 341 RMSE: 53.68
Df Residuals: 339 MAE: 42.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 163.6954 10.2948 0.001 143.8699 183.9124
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · erigon
nobs 176
R² 0.8493
coef (ms) 5.068e-05
p-value 1.00e-03
95% CI [4.695e-05, 5.406e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 176 RMSE: 12.49
Df Residuals: 174 MAE: 10.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.2937 3.4046 0.001 31.9065 45.4264
opcount 0.0001 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · ethrex
nobs 99
R² 0.8398
coef (ms) 1.219e-05
p-value 1.00e-03
95% CI [1.125e-05, 1.321e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.838
No. Observations: 99 RMSE: 3.11
Df Residuals: 97 MAE: 2.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8262 0.9862 0.001 3.9146 7.6943
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 264
R² 0.8635
coef (ms) 0.0001688
p-value 1.00e-03
95% CI [0.0001613, 0.0001765]
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: 39.26
Df Residuals: 262 MAE: 29.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 85.4560 7.4933 0.001 70.9637 100.2562
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · reth
nobs 451
R² 0.6886
coef (ms) 6.603e-06
p-value 1.00e-03
95% CI [6.216e-06, 6.99e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.689
Model: NNLS Adj. R-squared: 0.688
No. Observations: 451 RMSE: 2.60
Df Residuals: 449 MAE: 1.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2582 0.3555 0.001 5.5829 6.9926
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.8593
coef (ms) 0.01101
p-value 1.00e-03
95% CI [0.01047, 0.01162]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 341 RMSE: 105.79
Df Residuals: 339 MAE: 87.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 594.8390 24.2970 0.001 546.7064 640.3044
opcount 0.0110 0.0003 0.001 0.0105 0.0116
==============================================================================
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 176
R² 0.9943
coef (ms) 0.01104
p-value 1.00e-03
95% CI [0.01093, 0.01116]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 176 RMSE: 19.83
Df Residuals: 174 MAE: 15.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.6005 4.0167 0.001 46.3481 62.1253
opcount 0.0110 0.0001 0.001 0.0109 0.0112
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · ethrex
nobs 99
R² 0.9712
coef (ms) 0.02446
p-value 1.00e-03
95% CI [0.02341, 0.02544]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 99 RMSE: 100.01
Df Residuals: 97 MAE: 86.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 397.4363 40.4945 0.001 323.4287 482.4869
opcount 0.0245 0.0005 0.001 0.0234 0.0254
==============================================================================
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 264
R² 0.933
coef (ms) 0.004605
p-value 1.00e-03
95% CI [0.00445, 0.004757]
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: 29.30
Df Residuals: 262 MAE: 23.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 106.3000 5.6271 0.001 95.4055 117.6473
opcount 0.0046 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9756
coef (ms) 0.001139
p-value 1.00e-03
95% CI [0.001122, 0.001158]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 451 RMSE: 4.27
Df Residuals: 449 MAE: 3.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0152 0.7018 0.001 30.5546 33.3328
opcount 0.0011 0.0000 0.001 0.0011 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.9073
coef (ms) 0.01168
p-value 1.00e-03
95% CI [0.01125, 0.01212]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 341 RMSE: 88.60
Df Residuals: 339 MAE: 75.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 498.8979 17.5252 0.001 463.8999 531.1358
opcount 0.0117 0.0002 0.001 0.0113 0.0121
==============================================================================
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 176
R² 0.9958
coef (ms) 0.01008
p-value 1.00e-03
95% CI [0.009985, 0.01018]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 15.54
Df Residuals: 174 MAE: 12.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.9709 3.7378 0.001 13.1238 28.0306
opcount 0.0101 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 99
R² 0.9951
coef (ms) 0.002657
p-value 1.00e-03
95% CI [0.002617, 0.002695]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 99 RMSE: 4.44
Df Residuals: 97 MAE: 3.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.9046 1.3076 0.014 0.4243 5.5151
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 264
R² 0.9522
coef (ms) 0.004686
p-value 1.00e-03
95% CI [0.004549, 0.004808]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 264 RMSE: 24.93
Df Residuals: 262 MAE: 20.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.9093 5.3515 0.001 102.6026 123.3858
opcount 0.0047 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9736
coef (ms) 0.0009636
p-value 1.00e-03
95% CI [0.0009481, 0.0009807]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.973
No. Observations: 451 RMSE: 3.77
Df Residuals: 449 MAE: 3.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.4613 0.6322 0.001 31.1424 33.7639
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.9554
coef (ms) 0.0299
p-value 1.00e-03
95% CI [0.02917, 0.03068]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.955
Model: NNLS Adj. R-squared: 0.955
No. Observations: 341 RMSE: 131.40
Df Residuals: 339 MAE: 109.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 363.6236 24.9537 0.001 313.0163 410.3524
opcount 0.0299 0.0004 0.001 0.0292 0.0307
==============================================================================
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 176
R² 0.8697
coef (ms) 0.08809
p-value 1.00e-03
95% CI [0.08257, 0.09291]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 176 RMSE: 693.98
Df Residuals: 174 MAE: 586.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1529.8246 186.0662 0.001 1178.3685 1922.0548
opcount 0.0881 0.0025 0.001 0.0826 0.0929
==============================================================================
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 99
R² 0.9713
coef (ms) 0.02604
p-value 1.00e-03
95% CI [0.02493, 0.02718]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 99 RMSE: 91.06
Df Residuals: 97 MAE: 79.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 337.5578 39.8641 0.001 260.7643 420.4333
opcount 0.0260 0.0006 0.001 0.0249 0.0272
==============================================================================
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 264
R² 0.6896
coef (ms) 0.02442
p-value 1.00e-03
95% CI [0.02247, 0.02666]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.690
Model: NNLS Adj. R-squared: 0.688
No. Observations: 264 RMSE: 333.43
Df Residuals: 262 MAE: 277.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 904.7892 72.4043 0.001 760.3334 1043.8958
opcount 0.0244 0.0010 0.001 0.0225 0.0267
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.8461
coef (ms) 0.03529
p-value 1.00e-03
95% CI [0.03375, 0.03714]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.846
Model: NNLS Adj. R-squared: 0.846
No. Observations: 451 RMSE: 306.24
Df Residuals: 449 MAE: 180.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 231.5097 55.7317 0.001 107.4176 334.7479
opcount 0.0353 0.0009 0.001 0.0337 0.0371
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.9073
coef (ms) 0.01168
p-value 1.00e-03
95% CI [0.01125, 0.01212]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 341 RMSE: 88.60
Df Residuals: 339 MAE: 75.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 498.8979 17.5252 0.001 463.8999 531.1358
opcount 0.0117 0.0002 0.001 0.0113 0.0121
==============================================================================
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 176
R² 0.9958
coef (ms) 0.01008
p-value 1.00e-03
95% CI [0.009985, 0.01018]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 15.54
Df Residuals: 174 MAE: 12.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.9709 3.7378 0.001 13.1238 28.0306
opcount 0.0101 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 99
R² 0.9951
coef (ms) 0.002657
p-value 1.00e-03
95% CI [0.002617, 0.002695]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 99 RMSE: 4.44
Df Residuals: 97 MAE: 3.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.9046 1.3076 0.014 0.4243 5.5151
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 264
R² 0.9522
coef (ms) 0.004686
p-value 1.00e-03
95% CI [0.004549, 0.004808]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.952
No. Observations: 264 RMSE: 24.93
Df Residuals: 262 MAE: 20.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.9093 5.3515 0.001 102.6026 123.3858
opcount 0.0047 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.9736
coef (ms) 0.0009636
p-value 1.00e-03
95% CI [0.0009481, 0.0009807]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.973
No. Observations: 451 RMSE: 3.77
Df Residuals: 449 MAE: 3.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.4613 0.6322 0.001 31.1424 33.7639
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 341
R² 0.9515
coef (ms) 0.07262
p-value 1.00e-03
95% CI [0.07046, 0.0746]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.951
Model: NNLS Adj. R-squared: 0.951
No. Observations: 341 RMSE: 110.35
Df Residuals: 339 MAE: 95.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 365.6690 23.7134 0.001 321.6863 414.0003
opcount 0.0726 0.0011 0.001 0.0705 0.0746
==============================================================================
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 176
R² 0.9675
coef (ms) 0.2324
p-value 1.00e-03
95% CI [0.2264, 0.2386]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 176 RMSE: 286.74
Df Residuals: 174 MAE: 223.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2233.9553 71.9435 0.001 2096.7590 2378.9621
opcount 0.2324 0.0032 0.001 0.2264 0.2386
==============================================================================
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 99
R² 0.9863
coef (ms) 0.03452
p-value 1.00e-03
95% CI [0.03361, 0.03539]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 99 RMSE: 27.35
Df Residuals: 97 MAE: 21.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 128.2497 8.1417 0.001 113.2149 144.8924
opcount 0.0345 0.0005 0.001 0.0336 0.0354
==============================================================================
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 264
R² 0.8747
coef (ms) 0.03297
p-value 1.00e-03
95% CI [0.03149, 0.03436]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.874
No. Observations: 264 RMSE: 83.97
Df Residuals: 262 MAE: 68.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 253.8823 14.9223 0.001 223.7628 283.1980
opcount 0.0330 0.0007 0.001 0.0315 0.0344
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · reth
nobs 451
R² 0.9497
coef (ms) 0.1473
p-value 1.00e-03
95% CI [0.1433, 0.1513]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 451 RMSE: 228.20
Df Residuals: 449 MAE: 177.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 553.7544 48.2739 0.001 455.1502 652.4535
opcount 0.1473 0.0020 0.001 0.1433 0.1513
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · besu
nobs 341
R² 0.179
coef (ms) 0.05773
p-value 1.00e-03
95% CI [0.04135, 0.07426]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.179
Model: NNLS Adj. R-squared: 0.177
No. Observations: 341 RMSE: 40.70
Df Residuals: 339 MAE: 30.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 386.2810 9.5672 0.001 366.9759 404.4584
opcount 0.0577 0.0082 0.001 0.0413 0.0743
==============================================================================
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 176
R² 0.7359
coef (ms) 1.673
p-value 1.00e-03
95% CI [1.527, 1.824]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.736
Model: NNLS Adj. R-squared: 0.734
No. Observations: 176 RMSE: 330.03
Df Residuals: 174 MAE: 281.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 745.7318 72.0547 0.001 605.4310 889.0521
opcount 1.6732 0.0721 0.001 1.5271 1.8242
==============================================================================
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 99
R² 0.9133
coef (ms) 0.01705
p-value 1.00e-03
95% CI [0.0159, 0.01819]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.913
Model: NNLS Adj. R-squared: 0.912
No. Observations: 99 RMSE: 1.73
Df Residuals: 97 MAE: 1.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.5989 0.5947 0.001 5.4292 7.7502
opcount 0.0171 0.0006 0.001 0.0159 0.0182
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · nethermind
nobs 264
R² 0.7924
coef (ms) 0.05929
p-value 1.00e-03
95% CI [0.0557, 0.06273]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 264 RMSE: 9.99
Df Residuals: 262 MAE: 8.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7243 1.6885 0.001 16.4490 23.0253
opcount 0.0593 0.0018 0.001 0.0557 0.0627
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 451
R² 0.006909
coef (ms) 0.006769
p-value 7.20e-02
95% CI [0, 0.01628]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.007
Model: NNLS Adj. R-squared: 0.005
No. Observations: 451 RMSE: 26.72
Df Residuals: 449 MAE: 21.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.4925 5.5299 0.001 85.0496 105.1008
opcount 0.0068 0.0045 0.072 0.0000 0.0163
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 341
R² 0.9238
coef (ms) 0.09915
p-value 1.00e-03
95% CI [0.09597, 0.1022]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.924
No. Observations: 341 RMSE: 182.87
Df Residuals: 339 MAE: 149.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 883.2936 34.0626 0.001 818.4780 949.0491
opcount 0.0991 0.0016 0.001 0.0960 0.1022
==============================================================================
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 176
R² 0.9468
coef (ms) 1.144
p-value 1.00e-03
95% CI [1.1, 1.186]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.946
No. Observations: 176 RMSE: 1742.56
Df Residuals: 174 MAE: 1427.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13924.9203 436.8139 0.001 13092.8677 14789.7142
opcount 1.1441 0.0220 0.001 1.1002 1.1863
==============================================================================
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 99
R² 0.9851
coef (ms) 0.03615
p-value 1.00e-03
95% CI [0.03519, 0.03708]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.985
Model: NNLS Adj. R-squared: 0.985
No. Observations: 99 RMSE: 28.60
Df Residuals: 97 MAE: 23.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 111.8137 8.9174 0.001 95.1819 129.8428
opcount 0.0362 0.0005 0.001 0.0352 0.0371
==============================================================================
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 264
R² 0.8897
coef (ms) 0.05664
p-value 1.00e-03
95% CI [0.05407, 0.05884]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.890
Model: NNLS Adj. R-squared: 0.889
No. Observations: 264 RMSE: 128.08
Df Residuals: 262 MAE: 102.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 255.3866 22.1026 0.001 216.3030 300.6897
opcount 0.0566 0.0012 0.001 0.0541 0.0588
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · reth
nobs 451
R² 0.9709
coef (ms) 0.1514
p-value 1.00e-03
95% CI [0.1488, 0.1543]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 451 RMSE: 168.33
Df Residuals: 449 MAE: 132.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1001.9029 33.1345 0.001 936.6927 1064.1565
opcount 0.1514 0.0014 0.001 0.1488 0.1543
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · besu
nobs 341
R² 0.179
coef (ms) 0.05773
p-value 1.00e-03
95% CI [0.04135, 0.07426]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.179
Model: NNLS Adj. R-squared: 0.177
No. Observations: 341 RMSE: 40.70
Df Residuals: 339 MAE: 30.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 386.2810 9.5672 0.001 366.9759 404.4584
opcount 0.0577 0.0082 0.001 0.0413 0.0743
==============================================================================
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 176
R² 0.7359
coef (ms) 1.673
p-value 1.00e-03
95% CI [1.527, 1.824]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.736
Model: NNLS Adj. R-squared: 0.734
No. Observations: 176 RMSE: 330.03
Df Residuals: 174 MAE: 281.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 745.7318 72.0547 0.001 605.4310 889.0521
opcount 1.6732 0.0721 0.001 1.5271 1.8242
==============================================================================
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 99
R² 0.9133
coef (ms) 0.01705
p-value 1.00e-03
95% CI [0.0159, 0.01819]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.913
Model: NNLS Adj. R-squared: 0.912
No. Observations: 99 RMSE: 1.73
Df Residuals: 97 MAE: 1.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.5989 0.5947 0.001 5.4292 7.7502
opcount 0.0171 0.0006 0.001 0.0159 0.0182
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · nethermind
nobs 264
R² 0.7924
coef (ms) 0.05929
p-value 1.00e-03
95% CI [0.0557, 0.06273]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 264 RMSE: 9.99
Df Residuals: 262 MAE: 8.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7243 1.6885 0.001 16.4490 23.0253
opcount 0.0593 0.0018 0.001 0.0557 0.0627
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 451
R² 0.006909
coef (ms) 0.006769
p-value 7.20e-02
95% CI [0, 0.01628]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.007
Model: NNLS Adj. R-squared: 0.005
No. Observations: 451 RMSE: 26.72
Df Residuals: 449 MAE: 21.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.4925 5.5299 0.001 85.0496 105.1008
opcount 0.0068 0.0045 0.072 0.0000 0.0163
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 341
R² 0.5928
coef (ms) 0.001231
p-value 1.00e-03
95% CI [0.001119, 0.001336]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.593
Model: NNLS Adj. R-squared: 0.592
No. Observations: 341 RMSE: 515.46
Df Residuals: 339 MAE: 361.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 807.4855 83.7065 0.001 649.6640 968.6922
opcount 0.0012 0.0001 0.001 0.0011 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · erigon
nobs 176
R² 0.8984
coef (ms) 0.0005013
p-value 1.00e-03
95% CI [0.0004771, 0.000528]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.898
No. Observations: 176 RMSE: 85.18
Df Residuals: 174 MAE: 71.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.9110 19.7153 0.001 33.3879 108.1479
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · ethrex
nobs 99
R² 0.8738
coef (ms) 7.529e-05
p-value 1.00e-03
95% CI [6.901e-05, 8.129e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.873
No. Observations: 99 RMSE: 14.45
Df Residuals: 97 MAE: 11.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.3130 5.0348 0.001 28.0127 47.1361
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 264
R² 0.7927
coef (ms) 0.0006615
p-value 1.00e-03
95% CI [0.0006148, 0.0007084]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.792
No. Observations: 264 RMSE: 170.91
Df Residuals: 262 MAE: 130.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 393.0297 33.4677 0.001 323.7641 459.5689
opcount 0.0007 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · reth
nobs 451
R² 0.8825
coef (ms) 4.959e-05
p-value 1.00e-03
95% CI [4.769e-05, 5.139e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 451 RMSE: 9.14
Df Residuals: 449 MAE: 7.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.8535 1.4662 0.001 16.0914 21.8383
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.8425
coef (ms) 0.01023
p-value 1.00e-03
95% CI [0.009687, 0.01076]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.842
No. Observations: 341 RMSE: 104.99
Df Residuals: 339 MAE: 85.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 596.2062 21.8121 0.001 553.4818 637.7302
opcount 0.0102 0.0003 0.001 0.0097 0.0108
==============================================================================
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 176
R² 0.9944
coef (ms) 0.01029
p-value 1.00e-03
95% CI [0.01017, 0.01041]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 176 RMSE: 18.26
Df Residuals: 174 MAE: 15.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0790 4.1201 0.001 24.2288 40.0790
opcount 0.0103 0.0001 0.001 0.0102 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 99
R² 0.9737
coef (ms) 0.02435
p-value 1.00e-03
95% CI [0.02338, 0.02526]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.973
No. Observations: 99 RMSE: 95.06
Df Residuals: 97 MAE: 84.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 393.1646 39.2352 0.001 321.5211 476.4396
opcount 0.0244 0.0005 0.001 0.0234 0.0253
==============================================================================
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 264
R² 0.9145
coef (ms) 0.004758
p-value 1.00e-03
95% CI [0.004577, 0.004941]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.914
No. Observations: 264 RMSE: 34.55
Df Residuals: 262 MAE: 22.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.6850 6.4566 0.001 84.4887 110.3777
opcount 0.0048 0.0001 0.001 0.0046 0.0049
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9775
coef (ms) 0.001128
p-value 1.00e-03
95% CI [0.001113, 0.001144]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.977
No. Observations: 451 RMSE: 4.06
Df Residuals: 449 MAE: 3.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.7536 0.6506 0.001 30.5120 32.9801
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.8978
coef (ms) 0.01037
p-value 1.00e-03
95% CI [0.00996, 0.01079]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.897
No. Observations: 341 RMSE: 83.12
Df Residuals: 339 MAE: 70.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 515.5797 16.6908 0.001 480.8152 547.3771
opcount 0.0104 0.0002 0.001 0.0100 0.0108
==============================================================================
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 176
R² 0.9958
coef (ms) 0.009488
p-value 1.00e-03
95% CI [0.009406, 0.009574]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 14.68
Df Residuals: 174 MAE: 11.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.1728 3.5162 0.001 19.2774 32.6920
opcount 0.0095 0.0000 0.001 0.0094 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 99
R² 0.9944
coef (ms) 0.00266
p-value 1.00e-03
95% CI [0.002618, 0.002701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 99 RMSE: 4.75
Df Residuals: 97 MAE: 3.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.7699 1.4402 0.028 0.0000 5.5713
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 264
R² 0.9325
coef (ms) 0.004649
p-value 1.00e-03
95% CI [0.004495, 0.004801]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 264 RMSE: 29.71
Df Residuals: 262 MAE: 23.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 112.3779 6.3134 0.001 100.4740 124.7683
opcount 0.0046 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9733
coef (ms) 0.0009678
p-value 1.00e-03
95% CI [0.000952, 0.0009831]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 451 RMSE: 3.81
Df Residuals: 449 MAE: 2.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.9696 0.6211 0.001 29.7703 32.1990
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.9455
coef (ms) 0.0281
p-value 1.00e-03
95% CI [0.02728, 0.02888]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.945
No. Observations: 341 RMSE: 137.23
Df Residuals: 339 MAE: 118.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 459.4008 26.5194 0.001 405.3281 511.6553
opcount 0.0281 0.0004 0.001 0.0273 0.0289
==============================================================================
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 176
R² 0.8716
coef (ms) 0.08827
p-value 1.00e-03
95% CI [0.083, 0.09267]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.871
No. Observations: 176 RMSE: 689.39
Df Residuals: 174 MAE: 586.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1470.3592 186.3734 0.001 1143.6168 1867.0094
opcount 0.0883 0.0025 0.001 0.0830 0.0927
==============================================================================
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 99
R² 0.9728
coef (ms) 0.02578
p-value 1.00e-03
95% CI [0.02476, 0.02676]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 99 RMSE: 87.70
Df Residuals: 97 MAE: 75.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 342.2845 37.9512 0.001 271.4289 416.2871
opcount 0.0258 0.0005 0.001 0.0248 0.0268
==============================================================================
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 264
R² 0.6904
coef (ms) 0.0247
p-value 1.00e-03
95% CI [0.02256, 0.02684]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.690
Model: NNLS Adj. R-squared: 0.689
No. Observations: 264 RMSE: 336.59
Df Residuals: 262 MAE: 283.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 894.7267 73.9803 0.001 748.7197 1037.7470
opcount 0.0247 0.0011 0.001 0.0226 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.7795
coef (ms) 0.02874
p-value 1.00e-03
95% CI [0.02699, 0.03046]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.779
No. Observations: 451 RMSE: 311.05
Df Residuals: 449 MAE: 199.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 709.6767 64.5303 0.001 588.5339 836.7777
opcount 0.0287 0.0009 0.001 0.0270 0.0305
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.8978
coef (ms) 0.01037
p-value 1.00e-03
95% CI [0.00996, 0.01079]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.897
No. Observations: 341 RMSE: 83.12
Df Residuals: 339 MAE: 70.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 515.5797 16.6908 0.001 480.8152 547.3771
opcount 0.0104 0.0002 0.001 0.0100 0.0108
==============================================================================
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 176
R² 0.9958
coef (ms) 0.009488
p-value 1.00e-03
95% CI [0.009406, 0.009574]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 14.68
Df Residuals: 174 MAE: 11.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.1728 3.5162 0.001 19.2774 32.6920
opcount 0.0095 0.0000 0.001 0.0094 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 99
R² 0.9944
coef (ms) 0.00266
p-value 1.00e-03
95% CI [0.002618, 0.002701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 99 RMSE: 4.75
Df Residuals: 97 MAE: 3.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.7699 1.4402 0.028 0.0000 5.5713
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 264
R² 0.9325
coef (ms) 0.004649
p-value 1.00e-03
95% CI [0.004495, 0.004801]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 264 RMSE: 29.71
Df Residuals: 262 MAE: 23.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 112.3779 6.3134 0.001 100.4740 124.7683
opcount 0.0046 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.9733
coef (ms) 0.0009678
p-value 1.00e-03
95% CI [0.000952, 0.0009831]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 451 RMSE: 3.81
Df Residuals: 449 MAE: 2.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.9696 0.6211 0.001 29.7703 32.1990
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 341
R² 0.8835
coef (ms) 0.01375
p-value 1.00e-03
95% CI [0.01322, 0.01428]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.883
No. Observations: 341 RMSE: 33.61
Df Residuals: 339 MAE: 26.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 236.0403 5.3541 0.001 225.5392 246.8214
opcount 0.0138 0.0003 0.001 0.0132 0.0143
==============================================================================
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 176
R² 0.9761
coef (ms) 0.008162
p-value 1.00e-03
95% CI [0.007965, 0.008356]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 176 RMSE: 8.60
Df Residuals: 174 MAE: 6.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.9021 2.0166 0.001 37.1393 45.0037
opcount 0.0082 0.0001 0.001 0.0080 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 99
R² 0.9898
coef (ms) 0.02419
p-value 1.00e-03
95% CI [0.0236, 0.02477]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 99 RMSE: 16.53
Df Residuals: 97 MAE: 13.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.4093 7.1764 0.001 60.4155 88.6152
opcount 0.0242 0.0003 0.001 0.0236 0.0248
==============================================================================
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 264
R² 0.8492
coef (ms) 0.005356
p-value 1.00e-03
95% CI [0.005067, 0.005685]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.849
No. Observations: 264 RMSE: 15.19
Df Residuals: 262 MAE: 11.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 60.9386 3.0338 0.001 54.9283 66.5154
opcount 0.0054 0.0002 0.001 0.0051 0.0057
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · reth
nobs 451
R² 0.9363
coef (ms) 0.001181
p-value 1.00e-03
95% CI [0.001155, 0.001211]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.936
No. Observations: 451 RMSE: 2.07
Df Residuals: 449 MAE: 1.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.5075 0.3138 0.001 9.8771 11.0947
opcount 0.0012 0.0000 0.001 0.0012 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · besu
nobs 341
R² 0.4163
coef (ms) 0.003444
p-value 1.00e-03
95% CI [0.002952, 0.003944]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.416
Model: NNLS Adj. R-squared: 0.415
No. Observations: 341 RMSE: 27.45
Df Residuals: 339 MAE: 21.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 276.2784 5.8227 0.001 264.5283 287.3573
opcount 0.0034 0.0003 0.001 0.0030 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_write] · erigon
nobs 176
R² 0.795
coef (ms) 0.001833
p-value 1.00e-03
95% CI [0.001685, 0.001966]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.794
No. Observations: 176 RMSE: 6.27
Df Residuals: 174 MAE: 5.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.6746 1.5731 0.001 53.6359 59.8085
opcount 0.0018 0.0001 0.001 0.0017 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · ethrex
nobs 99
R² 0.6608
coef (ms) 0.0003231
p-value 1.00e-03
95% CI [0.0002831, 0.0003651]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.657
No. Observations: 99 RMSE: 1.56
Df Residuals: 97 MAE: 1.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2618 0.4482 0.001 8.4187 10.1635
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · nethermind
nobs 264
R² 0.7273
coef (ms) 0.002498
p-value 1.00e-03
95% CI [0.002313, 0.002678]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.727
Model: NNLS Adj. R-squared: 0.726
No. Observations: 264 RMSE: 10.30
Df Residuals: 262 MAE: 7.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.2566 1.8814 0.001 45.6310 53.0031
opcount 0.0025 0.0001 0.001 0.0023 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 451
R² 0.7818
coef (ms) 0.0002376
p-value 1.00e-03
95% CI [0.0002282, 0.0002477]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.781
No. Observations: 451 RMSE: 0.84
Df Residuals: 449 MAE: 0.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2889 0.1114 0.001 6.0652 6.5037
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 341
R² 0.8811
coef (ms) 0.02243
p-value 1.00e-03
95% CI [0.02134, 0.02353]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.881
No. Observations: 341 RMSE: 52.91
Df Residuals: 339 MAE: 41.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 253.3964 11.3336 0.001 231.2691 275.5082
opcount 0.0224 0.0006 0.001 0.0213 0.0235
==============================================================================
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 176
R² 0.9027
coef (ms) 0.08288
p-value 1.00e-03
95% CI [0.07909, 0.08601]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 176 RMSE: 174.75
Df Residuals: 174 MAE: 145.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 582.1057 41.7754 0.001 508.1816 671.7046
opcount 0.0829 0.0018 0.001 0.0791 0.0860
==============================================================================
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 99
R² 0.9877
coef (ms) 0.02439
p-value 1.00e-03
95% CI [0.02374, 0.02501]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 99 RMSE: 17.49
Df Residuals: 97 MAE: 14.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.4757 7.4565 0.001 72.6959 101.0909
opcount 0.0244 0.0003 0.001 0.0237 0.0250
==============================================================================
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 264
R² 0.8126
coef (ms) 0.02789
p-value 1.00e-03
95% CI [0.02635, 0.0295]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.812
No. Observations: 264 RMSE: 86.04
Df Residuals: 262 MAE: 71.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 265.4218 17.8003 0.001 230.6873 300.2885
opcount 0.0279 0.0008 0.001 0.0264 0.0295
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · reth
nobs 451
R² 0.4076
coef (ms) 0.0132
p-value 1.00e-03
95% CI [0.01117, 0.01513]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.408
Model: NNLS Adj. R-squared: 0.406
No. Observations: 451 RMSE: 102.24
Df Residuals: 449 MAE: 78.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 173.7692 23.7308 0.001 128.3852 220.6590
opcount 0.0132 0.0010 0.001 0.0112 0.0151
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · besu
nobs 341
R² 0.4163
coef (ms) 0.003444
p-value 1.00e-03
95% CI [0.002952, 0.003944]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.416
Model: NNLS Adj. R-squared: 0.415
No. Observations: 341 RMSE: 27.45
Df Residuals: 339 MAE: 21.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 276.2784 5.8227 0.001 264.5283 287.3573
opcount 0.0034 0.0003 0.001 0.0030 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_code_write] · erigon
nobs 176
R² 0.795
coef (ms) 0.001833
p-value 1.00e-03
95% CI [0.001685, 0.001966]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.794
No. Observations: 176 RMSE: 6.27
Df Residuals: 174 MAE: 5.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.6746 1.5731 0.001 53.6359 59.8085
opcount 0.0018 0.0001 0.001 0.0017 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · ethrex
nobs 99
R² 0.6608
coef (ms) 0.0003231
p-value 1.00e-03
95% CI [0.0002831, 0.0003651]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.657
No. Observations: 99 RMSE: 1.56
Df Residuals: 97 MAE: 1.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2618 0.4482 0.001 8.4187 10.1635
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · nethermind
nobs 264
R² 0.7273
coef (ms) 0.002498
p-value 1.00e-03
95% CI [0.002313, 0.002678]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.727
Model: NNLS Adj. R-squared: 0.726
No. Observations: 264 RMSE: 10.30
Df Residuals: 262 MAE: 7.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.2566 1.8814 0.001 45.6310 53.0031
opcount 0.0025 0.0001 0.001 0.0023 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 451
R² 0.7818
coef (ms) 0.0002376
p-value 1.00e-03
95% CI [0.0002282, 0.0002477]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.781
No. Observations: 451 RMSE: 0.84
Df Residuals: 449 MAE: 0.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2889 0.1114 0.001 6.0652 6.5037
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 · besu
nobs 341
R² 0.5944
coef (ms) 0.001233
p-value 1.00e-03
95% CI [0.001118, 0.001344]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.594
Model: NNLS Adj. R-squared: 0.593
No. Observations: 341 RMSE: 514.72
Df Residuals: 339 MAE: 362.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 784.8176 84.6654 0.001 621.7616 953.1534
opcount 0.0012 0.0001 0.001 0.0011 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 176
R² 0.9022
coef (ms) 0.0002926
p-value 1.00e-03
95% CI [0.0002783, 0.0003077]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.902
Model: NNLS Adj. R-squared: 0.902
No. Observations: 176 RMSE: 48.68
Df Residuals: 174 MAE: 41.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.6480 11.2356 0.001 24.1060 66.9494
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 99
R² 0.8359
coef (ms) 7.134e-05
p-value 1.00e-03
95% CI [6.456e-05, 7.825e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.834
No. Observations: 99 RMSE: 15.97
Df Residuals: 97 MAE: 13.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.2674 5.3536 0.001 25.8810 46.4368
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 · nethermind
nobs 264
R² 0.8187
coef (ms) 0.0006986
p-value 1.00e-03
95% CI [0.0006584, 0.0007388]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.818
No. Observations: 264 RMSE: 166.11
Df Residuals: 262 MAE: 126.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 320.0954 30.7999 0.001 261.6830 379.2295
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · reth
nobs 451
R² 0.9055
coef (ms) 4.733e-05
p-value 1.00e-03
95% CI [4.57e-05, 4.892e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.905
Model: NNLS Adj. R-squared: 0.905
No. Observations: 451 RMSE: 7.73
Df Residuals: 449 MAE: 6.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.8264 1.3605 0.001 15.2149 20.5296
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · besu
nobs 341
R² 0.8355
coef (ms) 0.009809
p-value 1.00e-03
95% CI [0.009285, 0.01034]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.835
No. Observations: 341 RMSE: 103.49
Df Residuals: 339 MAE: 83.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 615.0777 22.2577 0.001 571.1777 656.9016
opcount 0.0098 0.0003 0.001 0.0093 0.0103
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 176
R² 0.995
coef (ms) 0.01013
p-value 1.00e-03
95% CI [0.01004, 0.01023]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 176 RMSE: 17.01
Df Residuals: 174 MAE: 14.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.5323 3.4251 0.001 38.3288 52.0664
opcount 0.0101 0.0000 0.001 0.0100 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · ethrex
nobs 99
R² 0.9748
coef (ms) 0.0248
p-value 1.00e-03
95% CI [0.02394, 0.02578]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 99 RMSE: 94.79
Df Residuals: 97 MAE: 83.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 371.5575 38.9125 0.001 295.5373 445.5669
opcount 0.0248 0.0005 0.001 0.0239 0.0258
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 264
R² 0.9455
coef (ms) 0.004682
p-value 1.00e-03
95% CI [0.00454, 0.004824]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.945
Model: NNLS Adj. R-squared: 0.945
No. Observations: 264 RMSE: 26.73
Df Residuals: 262 MAE: 20.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.0223 5.3809 0.001 89.9615 110.7075
opcount 0.0047 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 451
R² 0.9751
coef (ms) 0.001119
p-value 1.00e-03
95% CI [0.001103, 0.001136]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 451 RMSE: 4.25
Df Residuals: 449 MAE: 3.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.1190 0.6842 0.001 30.7819 33.4334
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.9112
coef (ms) 0.01056
p-value 1.00e-03
95% CI [0.0102, 0.01091]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 341 RMSE: 78.34
Df Residuals: 339 MAE: 64.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 515.5238 13.7864 0.001 488.3543 540.9402
opcount 0.0106 0.0002 0.001 0.0102 0.0109
==============================================================================
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 176
R² 0.9968
coef (ms) 0.009557
p-value 1.00e-03
95% CI [0.009483, 0.009643]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 176 RMSE: 12.79
Df Residuals: 174 MAE: 10.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.9238 3.0504 0.001 13.6758 25.8305
opcount 0.0096 0.0000 0.001 0.0095 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 99
R² 0.9955
coef (ms) 0.002684
p-value 1.00e-03
95% CI [0.002642, 0.002713]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 99 RMSE: 4.31
Df Residuals: 97 MAE: 3.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.4104 1.2725 0.160 0.0000 4.2473
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 264
R² 0.9371
coef (ms) 0.004591
p-value 1.00e-03
95% CI [0.004452, 0.004738]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.937
Model: NNLS Adj. R-squared: 0.937
No. Observations: 264 RMSE: 28.28
Df Residuals: 262 MAE: 22.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 112.2382 5.5110 0.001 100.9602 122.3433
opcount 0.0046 0.0001 0.001 0.0045 0.0047
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9757
coef (ms) 0.0009568
p-value 1.00e-03
95% CI [0.0009425, 0.000969]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 451 RMSE: 3.59
Df Residuals: 449 MAE: 2.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.6246 0.5622 0.001 30.5786 32.7626
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.9627
coef (ms) 0.02949
p-value 1.00e-03
95% CI [0.02883, 0.03008]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.963
Model: NNLS Adj. R-squared: 0.963
No. Observations: 341 RMSE: 118.21
Df Residuals: 339 MAE: 100.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 314.6697 20.6433 0.001 273.2040 355.1586
opcount 0.0295 0.0003 0.001 0.0288 0.0301
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 176
R² 0.8709
coef (ms) 0.08781
p-value 1.00e-03
95% CI [0.08289, 0.09235]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 176 RMSE: 688.58
Df Residuals: 174 MAE: 584.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1513.0601 189.2816 0.001 1166.1076 1887.5091
opcount 0.0878 0.0025 0.001 0.0829 0.0923
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 99
R² 0.973
coef (ms) 0.0258
p-value 1.00e-03
95% CI [0.02477, 0.0268]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 99 RMSE: 87.52
Df Residuals: 97 MAE: 75.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 349.1411 37.1856 0.001 274.9498 421.3672
opcount 0.0258 0.0005 0.001 0.0248 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 264
R² 0.6988
coef (ms) 0.02496
p-value 1.00e-03
95% CI [0.0229, 0.02691]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.699
Model: NNLS Adj. R-squared: 0.698
No. Observations: 264 RMSE: 333.82
Df Residuals: 262 MAE: 275.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 885.9587 70.8418 0.001 756.7134 1027.3102
opcount 0.0250 0.0010 0.001 0.0229 0.0269
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 451
R² 0.9154
coef (ms) 0.03755
p-value 1.00e-03
95% CI [0.03718, 0.03795]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 451 RMSE: 243.78
Df Residuals: 449 MAE: 130.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0375 0.0002 0.001 0.0372 0.0379
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.9112
coef (ms) 0.01056
p-value 1.00e-03
95% CI [0.0102, 0.01091]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 341 RMSE: 78.34
Df Residuals: 339 MAE: 64.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 515.5238 13.7864 0.001 488.3543 540.9402
opcount 0.0106 0.0002 0.001 0.0102 0.0109
==============================================================================
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 176
R² 0.9968
coef (ms) 0.009557
p-value 1.00e-03
95% CI [0.009483, 0.009643]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 176 RMSE: 12.79
Df Residuals: 174 MAE: 10.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.9238 3.0504 0.001 13.6758 25.8305
opcount 0.0096 0.0000 0.001 0.0095 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 99
R² 0.9955
coef (ms) 0.002684
p-value 1.00e-03
95% CI [0.002642, 0.002713]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 99 RMSE: 4.31
Df Residuals: 97 MAE: 3.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1.4104 1.2725 0.160 0.0000 4.2473
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 264
R² 0.9371
coef (ms) 0.004591
p-value 1.00e-03
95% CI [0.004452, 0.004738]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.937
Model: NNLS Adj. R-squared: 0.937
No. Observations: 264 RMSE: 28.28
Df Residuals: 262 MAE: 22.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 112.2382 5.5110 0.001 100.9602 122.3433
opcount 0.0046 0.0001 0.001 0.0045 0.0047
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.9757
coef (ms) 0.0009568
p-value 1.00e-03
95% CI [0.0009425, 0.000969]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 451 RMSE: 3.59
Df Residuals: 449 MAE: 2.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.6246 0.5622 0.001 30.5786 32.7626
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · besu
nobs 341
R² 0.586
coef (ms) 0.001201
p-value 1.00e-03
95% CI [0.001082, 0.001321]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.586
Model: NNLS Adj. R-squared: 0.585
No. Observations: 341 RMSE: 522.54
Df Residuals: 339 MAE: 364.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 724.5070 85.9981 0.001 556.5624 896.7084
opcount 0.0012 0.0001 0.001 0.0011 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · erigon
nobs 176
R² 0.897
coef (ms) 0.0002857
p-value 1.00e-03
95% CI [0.0002717, 0.0003006]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.896
No. Observations: 176 RMSE: 50.11
Df Residuals: 174 MAE: 41.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.6081 10.9809 0.001 30.4792 72.8997
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 99
R² 0.8744
coef (ms) 7.16e-05
p-value 1.00e-03
95% CI [6.629e-05, 7.744e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.873
No. Observations: 99 RMSE: 14.05
Df Residuals: 97 MAE: 11.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8330 5.0694 0.001 21.9348 41.5205
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 · nethermind
nobs 264
R² 0.8232
coef (ms) 0.0006635
p-value 1.00e-03
95% CI [0.0006212, 0.0007044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.823
No. Observations: 264 RMSE: 159.16
Df Residuals: 262 MAE: 117.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 361.1516 30.8483 0.001 302.5539 423.2448
opcount 0.0007 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 451
R² 0.9192
coef (ms) 4.806e-05
p-value 1.00e-03
95% CI [4.652e-05, 4.954e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.919
No. Observations: 451 RMSE: 7.38
Df Residuals: 449 MAE: 6.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.6885 1.2686 0.001 13.2229 18.2294
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] · besu
nobs 341
R² 0.8318
coef (ms) 0.000436
p-value 1.00e-03
95% CI [0.0004149, 0.0004558]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 341 RMSE: 50.34
Df Residuals: 339 MAE: 40.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 223.2788 8.3748 0.001 207.7102 239.9184
opcount 0.0004 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 176
R² 0.7535
coef (ms) 6.371e-05
p-value 1.00e-03
95% CI [5.82e-05, 6.916e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.754
Model: NNLS Adj. R-squared: 0.752
No. Observations: 176 RMSE: 9.36
Df Residuals: 174 MAE: 7.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.7564 2.2313 0.001 42.2548 51.1111
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 99
R² 0.7507
coef (ms) 2.485e-05
p-value 1.00e-03
95% CI [2.229e-05, 2.752e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.751
Model: NNLS Adj. R-squared: 0.748
No. Observations: 99 RMSE: 3.68
Df Residuals: 97 MAE: 2.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7008 1.1024 0.001 8.4048 12.8152
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] · nethermind
nobs 264
R² 0.8489
coef (ms) 0.0003605
p-value 1.00e-03
95% CI [0.0003418, 0.0003787]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 264 RMSE: 39.05
Df Residuals: 262 MAE: 28.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.7178 6.8180 0.001 109.5590 136.9639
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.7091
coef (ms) 1.674e-05
p-value 1.00e-03
95% CI [1.568e-05, 1.788e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.709
Model: NNLS Adj. R-squared: 0.708
No. Observations: 451 RMSE: 2.75
Df Residuals: 449 MAE: 1.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.7669 0.4246 0.001 4.9658 6.6250
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.8242
coef (ms) 0.00189
p-value 1.00e-03
95% CI [0.001791, 0.001995]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 341 RMSE: 86.21
Df Residuals: 339 MAE: 70.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 405.2685 15.3635 0.001 374.2404 437.1171
opcount 0.0019 0.0001 0.001 0.0018 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 176
R² 0.8493
coef (ms) 0.0003184
p-value 1.00e-03
95% CI [0.0002954, 0.0003389]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 176 RMSE: 13.25
Df Residuals: 174 MAE: 10.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.4740 4.0141 0.001 40.8254 56.8883
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · ethrex
nobs 99
R² 0.835
coef (ms) 0.0001602
p-value 1.00e-03
95% CI [0.0001443, 0.0001764]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.833
No. Observations: 99 RMSE: 7.04
Df Residuals: 97 MAE: 5.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.2723 2.3715 0.001 18.8415 27.9115
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · nethermind
nobs 264
R² 0.8833
coef (ms) 0.001387
p-value 1.00e-03
95% CI [0.001327, 0.00145]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.883
No. Observations: 264 RMSE: 49.79
Df Residuals: 262 MAE: 38.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 172.2716 9.7195 0.001 152.4482 190.0810
opcount 0.0014 0.0000 0.001 0.0013 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 451
R² 0.7546
coef (ms) 7.755e-05
p-value 1.00e-03
95% CI [7.347e-05, 8.21e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.755
Model: NNLS Adj. R-squared: 0.754
No. Observations: 451 RMSE: 4.37
Df Residuals: 449 MAE: 3.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.7637 0.6976 0.001 10.3498 13.0948
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.8318
coef (ms) 0.000436
p-value 1.00e-03
95% CI [0.0004149, 0.0004558]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 341 RMSE: 50.34
Df Residuals: 339 MAE: 40.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 223.2788 8.3748 0.001 207.7102 239.9184
opcount 0.0004 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 176
R² 0.7535
coef (ms) 6.371e-05
p-value 1.00e-03
95% CI [5.82e-05, 6.916e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.754
Model: NNLS Adj. R-squared: 0.752
No. Observations: 176 RMSE: 9.36
Df Residuals: 174 MAE: 7.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.7564 2.2313 0.001 42.2548 51.1111
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 99
R² 0.7507
coef (ms) 2.485e-05
p-value 1.00e-03
95% CI [2.229e-05, 2.752e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.751
Model: NNLS Adj. R-squared: 0.748
No. Observations: 99 RMSE: 3.68
Df Residuals: 97 MAE: 2.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7008 1.1024 0.001 8.4048 12.8152
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] · nethermind
nobs 264
R² 0.8489
coef (ms) 0.0003605
p-value 1.00e-03
95% CI [0.0003418, 0.0003787]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 264 RMSE: 39.05
Df Residuals: 262 MAE: 28.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.7178 6.8180 0.001 109.5590 136.9639
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.7091
coef (ms) 1.674e-05
p-value 1.00e-03
95% CI [1.568e-05, 1.788e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.709
Model: NNLS Adj. R-squared: 0.708
No. Observations: 451 RMSE: 2.75
Df Residuals: 449 MAE: 1.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.7669 0.4246 0.001 4.9658 6.6250
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.8992
coef (ms) 0.009268
p-value 1.00e-03
95% CI [0.008896, 0.009684]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 341 RMSE: 74.18
Df Residuals: 339 MAE: 62.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 429.1714 16.6607 0.001 394.3499 459.2448
opcount 0.0093 0.0002 0.001 0.0089 0.0097
==============================================================================
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 176
R² 0.997
coef (ms) 0.008627
p-value 1.00e-03
95% CI [0.00856, 0.008692]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 176 RMSE: 11.25
Df Residuals: 174 MAE: 9.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5152 2.5764 0.001 7.5465 17.6326
opcount 0.0086 0.0000 0.001 0.0086 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 99
R² 0.9945
coef (ms) 0.002633
p-value 1.00e-03
95% CI [0.002612, 0.002645]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 99 RMSE: 4.73
Df Residuals: 97 MAE: 3.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.3424 1.000 0.0000 1.2369
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
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 264
R² 0.9334
coef (ms) 0.003849
p-value 1.00e-03
95% CI [0.003717, 0.003966]
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: 24.58
Df Residuals: 262 MAE: 19.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.8567 4.6468 0.001 71.5669 89.0621
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9665
coef (ms) 0.0009116
p-value 1.00e-03
95% CI [0.0008965, 0.0009264]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 451 RMSE: 4.06
Df Residuals: 449 MAE: 3.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.3385 0.6398 0.001 31.1733 33.5746
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.9457
coef (ms) 0.02634
p-value 1.00e-03
95% CI [0.02561, 0.02712]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.946
No. Observations: 341 RMSE: 131.27
Df Residuals: 339 MAE: 112.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 403.2448 26.3500 0.001 349.9512 451.6401
opcount 0.0263 0.0004 0.001 0.0256 0.0271
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 176
R² 0.8969
coef (ms) 0.03631
p-value 1.00e-03
95% CI [0.03452, 0.03804]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.896
No. Observations: 176 RMSE: 256.17
Df Residuals: 174 MAE: 217.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 445.8375 64.7805 0.001 327.8783 578.6667
opcount 0.0363 0.0009 0.001 0.0345 0.0380
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · ethrex
nobs 99
R² 0.9713
coef (ms) 0.02496
p-value 1.00e-03
95% CI [0.02394, 0.02602]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 99 RMSE: 89.24
Df Residuals: 97 MAE: 76.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 372.4420 39.0329 0.001 294.0128 446.8451
opcount 0.0250 0.0005 0.001 0.0239 0.0260
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 264
R² 0.6957
coef (ms) 0.02416
p-value 1.00e-03
95% CI [0.02232, 0.02626]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.696
Model: NNLS Adj. R-squared: 0.695
No. Observations: 264 RMSE: 332.35
Df Residuals: 262 MAE: 278.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 832.8665 71.8507 0.001 678.7942 963.8703
opcount 0.0242 0.0010 0.001 0.0223 0.0263
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 451
R² 0.8473
coef (ms) 0.035
p-value 1.00e-03
95% CI [0.03377, 0.03641]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.847
No. Observations: 451 RMSE: 309.09
Df Residuals: 449 MAE: 175.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 234.7323 45.2544 0.001 142.4054 320.9167
opcount 0.0350 0.0007 0.001 0.0338 0.0364
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.8992
coef (ms) 0.009268
p-value 1.00e-03
95% CI [0.008896, 0.009684]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 341 RMSE: 74.18
Df Residuals: 339 MAE: 62.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 429.1714 16.6607 0.001 394.3499 459.2448
opcount 0.0093 0.0002 0.001 0.0089 0.0097
==============================================================================
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 176
R² 0.997
coef (ms) 0.008627
p-value 1.00e-03
95% CI [0.00856, 0.008692]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 176 RMSE: 11.25
Df Residuals: 174 MAE: 9.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5152 2.5764 0.001 7.5465 17.6326
opcount 0.0086 0.0000 0.001 0.0086 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 99
R² 0.9945
coef (ms) 0.002633
p-value 1.00e-03
95% CI [0.002612, 0.002645]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 99 RMSE: 4.73
Df Residuals: 97 MAE: 3.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.3424 1.000 0.0000 1.2369
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
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 264
R² 0.9334
coef (ms) 0.003849
p-value 1.00e-03
95% CI [0.003717, 0.003966]
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: 24.58
Df Residuals: 262 MAE: 19.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.8567 4.6468 0.001 71.5669 89.0621
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.9665
coef (ms) 0.0009116
p-value 1.00e-03
95% CI [0.0008965, 0.0009264]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 451 RMSE: 4.06
Df Residuals: 449 MAE: 3.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.3385 0.6398 0.001 31.1733 33.5746
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · besu
nobs 341
R² 0.7997
coef (ms) 0.0001577
p-value 1.00e-03
95% CI [0.000149, 0.0001668]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.799
No. Observations: 341 RMSE: 46.13
Df Residuals: 339 MAE: 36.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 198.3033 8.2901 0.001 182.4265 214.7589
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · erigon
nobs 176
R² 0.8488
coef (ms) 0.0002629
p-value 1.00e-03
95% CI [0.0002433, 0.0002778]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 176 RMSE: 64.89
Df Residuals: 174 MAE: 47.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.9268 17.8071 0.001 29.4314 95.6083
opcount 0.0003 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · ethrex
nobs 99
R² 0.8085
coef (ms) 9.549e-06
p-value 1.00e-03
95% CI [8.653e-06, 1.052e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.807
No. Observations: 99 RMSE: 2.72
Df Residuals: 97 MAE: 2.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.6439 0.8671 0.001 6.9590 10.2463
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 264
R² 0.7951
coef (ms) 0.0002863
p-value 1.00e-03
95% CI [0.0002688, 0.0003035]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.794
No. Observations: 264 RMSE: 84.99
Df Residuals: 262 MAE: 63.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 135.3205 14.3749 0.001 106.9423 164.2670
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 · reth
nobs 451
R² 0.6795
coef (ms) 8.14e-06
p-value 1.00e-03
95% CI [7.601e-06, 8.666e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.680
Model: NNLS Adj. R-squared: 0.679
No. Observations: 451 RMSE: 3.27
Df Residuals: 449 MAE: 2.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.7933 0.4692 0.001 4.9104 6.6804
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.8942
coef (ms) 0.009378
p-value 1.00e-03
95% CI [0.009009, 0.009788]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.894
Model: NNLS Adj. R-squared: 0.894
No. Observations: 341 RMSE: 77.08
Df Residuals: 339 MAE: 64.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 421.4238 16.9009 0.001 388.5258 453.9676
opcount 0.0094 0.0002 0.001 0.0090 0.0098
==============================================================================
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 176
R² 0.9956
coef (ms) 0.008807
p-value 1.00e-03
95% CI [0.008713, 0.008912]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 14.03
Df Residuals: 174 MAE: 10.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0454 3.8113 0.001 6.1411 21.2543
opcount 0.0088 0.0001 0.001 0.0087 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 99
R² 0.9958
coef (ms) 0.002627
p-value 1.00e-03
95% CI [0.002607, 0.002638]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 99 RMSE: 4.09
Df Residuals: 97 MAE: 3.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.3879 1.000 0.0000 1.4350
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
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 264
R² 0.9287
coef (ms) 0.003839
p-value 1.00e-03
95% CI [0.00372, 0.003964]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.928
No. Observations: 264 RMSE: 25.41
Df Residuals: 262 MAE: 19.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.8199 4.8168 0.001 74.6903 93.4173
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9732
coef (ms) 0.0009205
p-value 1.00e-03
95% CI [0.000907, 0.0009352]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 451 RMSE: 3.65
Df Residuals: 449 MAE: 2.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3809 0.5699 0.001 30.3210 32.4473
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.9478
coef (ms) 0.02644
p-value 1.00e-03
95% CI [0.02576, 0.0272]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.948
No. Observations: 341 RMSE: 129.10
Df Residuals: 339 MAE: 109.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 392.2275 26.4697 0.001 335.1296 440.1303
opcount 0.0264 0.0004 0.001 0.0258 0.0272
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 176
R² 0.8702
coef (ms) 0.08653
p-value 1.00e-03
95% CI [0.0815, 0.0911]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 176 RMSE: 695.26
Df Residuals: 174 MAE: 590.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1543.3664 187.3216 0.001 1210.7641 1925.5899
opcount 0.0865 0.0025 0.001 0.0815 0.0911
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 99
R² 0.9712
coef (ms) 0.02557
p-value 1.00e-03
95% CI [0.02451, 0.02667]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 99 RMSE: 91.64
Df Residuals: 97 MAE: 79.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 350.2605 38.8026 0.001 275.1809 425.5943
opcount 0.0256 0.0005 0.001 0.0245 0.0267
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 264
R² 0.7062
coef (ms) 0.02399
p-value 1.00e-03
95% CI [0.02205, 0.02607]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.706
Model: NNLS Adj. R-squared: 0.705
No. Observations: 264 RMSE: 321.93
Df Residuals: 262 MAE: 270.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 826.5338 71.5762 0.001 681.3911 963.9077
opcount 0.0240 0.0010 0.001 0.0221 0.0261
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 451
R² 0.8876
coef (ms) 0.036
p-value 1.00e-03
95% CI [0.03453, 0.03758]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.887
No. Observations: 451 RMSE: 266.49
Df Residuals: 449 MAE: 149.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 163.7120 48.8976 0.001 64.0027 258.0886
opcount 0.0360 0.0008 0.001 0.0345 0.0376
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.8942
coef (ms) 0.009378
p-value 1.00e-03
95% CI [0.009009, 0.009788]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.894
Model: NNLS Adj. R-squared: 0.894
No. Observations: 341 RMSE: 77.08
Df Residuals: 339 MAE: 64.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 421.4238 16.9009 0.001 388.5258 453.9676
opcount 0.0094 0.0002 0.001 0.0090 0.0098
==============================================================================
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 176
R² 0.9956
coef (ms) 0.008807
p-value 1.00e-03
95% CI [0.008713, 0.008912]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 14.03
Df Residuals: 174 MAE: 10.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0454 3.8113 0.001 6.1411 21.2543
opcount 0.0088 0.0001 0.001 0.0087 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 99
R² 0.9958
coef (ms) 0.002627
p-value 1.00e-03
95% CI [0.002607, 0.002638]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 99 RMSE: 4.09
Df Residuals: 97 MAE: 3.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.3879 1.000 0.0000 1.4350
opcount 0.0026 0.0000 0.001 0.0026 0.0026
==============================================================================
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 264
R² 0.9287
coef (ms) 0.003839
p-value 1.00e-03
95% CI [0.00372, 0.003964]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.928
No. Observations: 264 RMSE: 25.41
Df Residuals: 262 MAE: 19.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.8199 4.8168 0.001 74.6903 93.4173
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.9732
coef (ms) 0.0009205
p-value 1.00e-03
95% CI [0.000907, 0.0009352]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 451 RMSE: 3.65
Df Residuals: 449 MAE: 2.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3809 0.5699 0.001 30.3210 32.4473
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · besu
nobs 341
R² 0.7941
coef (ms) 0.0001602
p-value 1.00e-03
95% CI [0.0001511, 0.0001692]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.793
No. Observations: 341 RMSE: 47.69
Df Residuals: 339 MAE: 37.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 193.5556 8.3841 0.001 175.9963 209.6788
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · erigon
nobs 176
R² 0.7456
coef (ms) 3.901e-05
p-value 1.00e-03
95% CI [3.549e-05, 4.235e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.744
No. Observations: 176 RMSE: 13.32
Df Residuals: 174 MAE: 10.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.4551 2.9290 0.001 44.0120 55.2585
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · ethrex
nobs 99
R² 0.7825
coef (ms) 1.072e-05
p-value 1.00e-03
95% CI [9.458e-06, 1.207e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.780
No. Observations: 99 RMSE: 3.30
Df Residuals: 97 MAE: 2.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.5634 1.1425 0.001 5.1979 9.8271
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 264
R² 0.8797
coef (ms) 0.0002179
p-value 1.00e-03
95% CI [0.0002084, 0.0002284]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.879
No. Observations: 264 RMSE: 47.13
Df Residuals: 262 MAE: 34.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 97.7217 8.2561 0.001 80.7046 112.9916
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · reth
nobs 451
R² 0.7094
coef (ms) 5.921e-06
p-value 1.00e-03
95% CI [5.559e-06, 6.335e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.709
Model: NNLS Adj. R-squared: 0.709
No. Observations: 451 RMSE: 2.22
Df Residuals: 449 MAE: 1.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6724 0.3361 0.001 3.9873 5.3065
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · besu
nobs 341
R² 0.8565
coef (ms) 0.01074
p-value 1.00e-03
95% CI [0.01022, 0.01128]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.856
No. Observations: 341 RMSE: 104.53
Df Residuals: 339 MAE: 86.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 591.6264 22.8709 0.001 546.8610 635.7984
opcount 0.0107 0.0003 0.001 0.0102 0.0113
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 176
R² 0.9958
coef (ms) 0.01032
p-value 1.00e-03
95% CI [0.01022, 0.01041]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 16.02
Df Residuals: 174 MAE: 13.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.5811 3.6627 0.001 36.4884 50.7723
opcount 0.0103 0.0001 0.001 0.0102 0.0104
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · ethrex
nobs 99
R² 0.9714
coef (ms) 0.02476
p-value 1.00e-03
95% CI [0.02381, 0.02581]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 99 RMSE: 101.00
Df Residuals: 97 MAE: 90.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 374.9854 39.4804 0.001 298.0321 448.9005
opcount 0.0248 0.0005 0.001 0.0238 0.0258
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 264
R² 0.9319
coef (ms) 0.004671
p-value 1.00e-03
95% CI [0.004522, 0.004796]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 264 RMSE: 30.02
Df Residuals: 262 MAE: 22.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.5149 5.3508 0.001 90.5746 111.5031
opcount 0.0047 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 451
R² 0.9718
coef (ms) 0.001123
p-value 1.00e-03
95% CI [0.001103, 0.001143]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 451 RMSE: 4.55
Df Residuals: 449 MAE: 3.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.0917 0.8499 0.001 31.4829 34.7561
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 341
R² 0.9069
coef (ms) 0.01169
p-value 1.00e-03
95% CI [0.01124, 0.01217]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 341 RMSE: 89.08
Df Residuals: 339 MAE: 74.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 492.3401 17.8602 0.001 457.1925 526.1072
opcount 0.0117 0.0002 0.001 0.0112 0.0122
==============================================================================
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 176
R² 0.9952
coef (ms) 0.01187
p-value 1.00e-03
95% CI [0.01174, 0.01193]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 176 RMSE: 19.55
Df Residuals: 174 MAE: 15.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.6443 3.4740 0.293 0.0000 11.8270
opcount 0.0119 0.0001 0.001 0.0117 0.0119
==============================================================================
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 99
R² 0.9952
coef (ms) 0.002659
p-value 1.00e-03
95% CI [0.002619, 0.0027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 99 RMSE: 4.37
Df Residuals: 97 MAE: 3.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.1405 1.4712 0.015 0.2587 6.1180
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 264
R² 0.9301
coef (ms) 0.004666
p-value 1.00e-03
95% CI [0.004507, 0.004834]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.930
No. Observations: 264 RMSE: 30.41
Df Residuals: 262 MAE: 23.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 113.8402 6.3818 0.001 101.8572 126.6158
opcount 0.0047 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 451
R² 0.9729
coef (ms) 0.0009757
p-value 1.00e-03
95% CI [0.0009604, 0.0009907]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 451 RMSE: 3.87
Df Residuals: 449 MAE: 2.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5596 0.6130 0.001 30.3823 32.8143
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · besu
nobs 341
R² 0.949
coef (ms) 0.02949
p-value 1.00e-03
95% CI [0.02862, 0.03026]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.949
Model: NNLS Adj. R-squared: 0.949
No. Observations: 341 RMSE: 139.22
Df Residuals: 339 MAE: 114.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 364.2603 27.3411 0.001 313.4155 419.6945
opcount 0.0295 0.0004 0.001 0.0286 0.0303
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 176
R² 0.87
coef (ms) 0.08818
p-value 1.00e-03
95% CI [0.0831, 0.09296]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 176 RMSE: 694.40
Df Residuals: 174 MAE: 589.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1498.1431 182.4993 0.001 1161.4284 1871.6226
opcount 0.0882 0.0025 0.001 0.0831 0.0930
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 99
R² 0.975
coef (ms) 0.02607
p-value 1.00e-03
95% CI [0.02505, 0.02703]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 99 RMSE: 85.11
Df Residuals: 97 MAE: 74.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 330.8678 35.6770 0.001 263.6485 404.7106
opcount 0.0261 0.0005 0.001 0.0250 0.0270
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 264
R² 0.7076
coef (ms) 0.0249
p-value 1.00e-03
95% CI [0.02288, 0.02683]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.708
Model: NNLS Adj. R-squared: 0.706
No. Observations: 264 RMSE: 326.07
Df Residuals: 262 MAE: 273.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 880.5158 70.8474 0.001 745.5850 1019.2753
opcount 0.0249 0.0010 0.001 0.0229 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 451
R² 0.8918
coef (ms) 0.03499
p-value 1.00e-03
95% CI [0.03402, 0.03599]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.892
No. Observations: 451 RMSE: 248.36
Df Residuals: 449 MAE: 148.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 232.5610 38.0690 0.001 160.6845 306.8388
opcount 0.0350 0.0005 0.001 0.0340 0.0360
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 341
R² 0.9069
coef (ms) 0.01169
p-value 1.00e-03
95% CI [0.01124, 0.01217]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 341 RMSE: 89.08
Df Residuals: 339 MAE: 74.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 492.3401 17.8602 0.001 457.1925 526.1072
opcount 0.0117 0.0002 0.001 0.0112 0.0122
==============================================================================
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 176
R² 0.9952
coef (ms) 0.01187
p-value 1.00e-03
95% CI [0.01174, 0.01193]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 176 RMSE: 19.55
Df Residuals: 174 MAE: 15.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.6443 3.4740 0.293 0.0000 11.8270
opcount 0.0119 0.0001 0.001 0.0117 0.0119
==============================================================================
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 99
R² 0.9952
coef (ms) 0.002659
p-value 1.00e-03
95% CI [0.002619, 0.0027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 99 RMSE: 4.37
Df Residuals: 97 MAE: 3.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.1405 1.4712 0.015 0.2587 6.1180
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
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 264
R² 0.9301
coef (ms) 0.004666
p-value 1.00e-03
95% CI [0.004507, 0.004834]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.930
No. Observations: 264 RMSE: 30.41
Df Residuals: 262 MAE: 23.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 113.8402 6.3818 0.001 101.8572 126.6158
opcount 0.0047 0.0001 0.001 0.0045 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 451
R² 0.9729
coef (ms) 0.0009757
p-value 1.00e-03
95% CI [0.0009604, 0.0009907]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 451 RMSE: 3.87
Df Residuals: 449 MAE: 2.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5596 0.6130 0.001 30.3823 32.8143
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · besu
nobs 341
R² 0.5945
coef (ms) 0.001193
p-value 1.00e-03
95% CI [0.001088, 0.00129]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.595
Model: NNLS Adj. R-squared: 0.593
No. Observations: 341 RMSE: 509.98
Df Residuals: 339 MAE: 355.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 730.0319 78.3106 0.001 581.3268 889.1052
opcount 0.0012 0.0001 0.001 0.0011 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · erigon
nobs 176
R² 0.9056
coef (ms) 0.0005034
p-value 1.00e-03
95% CI [0.000477, 0.0005288]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.906
Model: NNLS Adj. R-squared: 0.905
No. Observations: 176 RMSE: 84.12
Df Residuals: 174 MAE: 68.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.4299 18.3164 0.001 29.0084 102.2096
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · ethrex
nobs 99
R² 0.8671
coef (ms) 7.201e-05
p-value 1.00e-03
95% CI [6.492e-05, 7.856e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 99 RMSE: 14.59
Df Residuals: 97 MAE: 12.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.7869 5.8038 0.001 16.7559 40.1907
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 · nethermind
nobs 264
R² 0.8321
coef (ms) 0.0007278
p-value 1.00e-03
95% CI [0.000687, 0.0007688]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 264 RMSE: 169.22
Df Residuals: 262 MAE: 127.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 292.7276 30.2624 0.001 234.2485 352.7132
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · reth
nobs 451
R² 0.9174
coef (ms) 4.689e-05
p-value 1.00e-03
95% CI [4.556e-05, 4.831e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.917
Model: NNLS Adj. R-squared: 0.917
No. Observations: 451 RMSE: 7.28
Df Residuals: 449 MAE: 6.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.7114 1.1531 0.001 14.3128 18.9977
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================