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 407
R² 0.9279
coef (ms) 0.007935
p-value 1.00e-03
95% CI [0.007721, 0.00815]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 407 RMSE: 65.09
Df Residuals: 405 MAE: 53.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 114.0151 9.4806 0.001 95.6536 132.2719
opcount 0.0079 0.0001 0.001 0.0077 0.0082
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · erigon
nobs 165
R² 0.9696
coef (ms) 0.005909
p-value 1.00e-03
95% CI [0.005757, 0.006008]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.969
No. Observations: 165 RMSE: 30.79
Df Residuals: 163 MAE: 24.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.6472 5.6224 0.259 0.0000 17.9432
opcount 0.0059 0.0001 0.001 0.0058 0.0060
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · ethrex
nobs 275
R² 0.9076
coef (ms) 0.008583
p-value 1.00e-03
95% CI [0.008452, 0.008716]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.907
No. Observations: 275 RMSE: 104.05
Df Residuals: 273 MAE: 90.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0086 0.0001 0.001 0.0085 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · geth
nobs 242
R² 0.969
coef (ms) 0.0243
p-value 1.00e-03
95% CI [0.02366, 0.02485]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 242 RMSE: 127.87
Df Residuals: 240 MAE: 104.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 535.6826 27.3155 0.001 487.0544 592.0714
opcount 0.0243 0.0003 0.001 0.0237 0.0249
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 198
R² 0.8475
coef (ms) 0.003422
p-value 1.00e-03
95% CI [0.003209, 0.00366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.847
Model: NNLS Adj. R-squared: 0.847
No. Observations: 198 RMSE: 42.73
Df Residuals: 196 MAE: 28.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.9626 9.9513 0.001 35.7717 73.6111
opcount 0.0034 0.0001 0.001 0.0032 0.0037
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 308
R² 0.9553
coef (ms) 0.001296
p-value 1.00e-03
95% CI [0.001263, 0.00133]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.955
Model: NNLS Adj. R-squared: 0.955
No. Observations: 308 RMSE: 8.25
Df Residuals: 306 MAE: 6.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.8589 1.5239 0.001 33.7977 39.9115
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 407
R² 0.958
coef (ms) 0.01512
p-value 1.00e-03
95% CI [0.01477, 0.01547]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 407 RMSE: 93.19
Df Residuals: 405 MAE: 80.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 327.7543 14.3044 0.001 299.7570 354.7635
opcount 0.0151 0.0002 0.001 0.0148 0.0155
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 165
R² 0.9708
coef (ms) 0.005343
p-value 1.00e-03
95% CI [0.005226, 0.005394]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 165 RMSE: 27.40
Df Residuals: 163 MAE: 21.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.6809 1.000 0.0000 9.5767
opcount 0.0053 0.0000 0.001 0.0052 0.0054
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · ethrex
nobs 275
R² 0.9561
coef (ms) 0.01267
p-value 1.00e-03
95% CI [0.01255, 0.01278]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 275 RMSE: 94.32
Df Residuals: 273 MAE: 81.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0127 0.0001 0.001 0.0125 0.0128
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · geth
nobs 242
R² 0.9661
coef (ms) 0.02368
p-value 1.00e-03
95% CI [0.02307, 0.02425]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 242 RMSE: 130.59
Df Residuals: 240 MAE: 105.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 515.3866 26.4486 0.001 464.8911 568.0357
opcount 0.0237 0.0003 0.001 0.0231 0.0242
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 198
R² 0.9768
coef (ms) 0.009045
p-value 1.00e-03
95% CI [0.008856, 0.009223]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 198 RMSE: 41.02
Df Residuals: 196 MAE: 32.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.2816 7.7098 0.001 85.2635 115.4369
opcount 0.0090 0.0001 0.001 0.0089 0.0092
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 308
R² 0.9577
coef (ms) 0.001489
p-value 1.00e-03
95% CI [0.001458, 0.001524]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 308 RMSE: 9.21
Df Residuals: 306 MAE: 7.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.0824 1.5435 0.001 25.9774 32.0321
opcount 0.0015 0.0000 0.001 0.0015 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · besu
nobs 814
R² 0.6544
coef (ms) 0.0002486
p-value 1.00e-03
95% CI [0.0002363, 0.0002599]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.654
Model: NNLS Adj. R-squared: 0.654
No. Observations: 814 RMSE: 114.11
Df Residuals: 812 MAE: 92.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 348.5814 12.3136 0.001 326.2518 374.3537
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · erigon
nobs 330
R² 0.8999
coef (ms) 4.737e-05
p-value 1.00e-03
95% CI [4.549e-05, 4.922e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.900
Model: NNLS Adj. R-squared: 0.900
No. Observations: 330 RMSE: 9.98
Df Residuals: 328 MAE: 7.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6438 1.7724 0.001 17.1142 24.2436
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · ethrex
nobs 550
R² 0.8132
coef (ms) 2.489e-05
p-value 1.00e-03
95% CI [2.397e-05, 2.582e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.813
No. Observations: 550 RMSE: 7.53
Df Residuals: 548 MAE: 5.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.9186 0.9512 0.001 13.1530 16.7667
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · geth
nobs 484
R² 0.8261
coef (ms) 4.254e-05
p-value 1.00e-03
95% CI [4.082e-05, 4.429e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 484 RMSE: 12.33
Df Residuals: 482 MAE: 9.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.7229 1.6918 0.001 25.3931 31.9941
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 396
R² 0.8219
coef (ms) 0.0001536
p-value 1.00e-03
95% CI [0.0001458, 0.0001608]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.822
Model: NNLS Adj. R-squared: 0.821
No. Observations: 396 RMSE: 45.15
Df Residuals: 394 MAE: 34.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 105.9248 7.2223 0.001 92.2914 119.9225
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · reth
nobs 616
R² 0.4322
coef (ms) 8.025e-06
p-value 1.00e-03
95% CI [7.348e-06, 8.676e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.432
Model: NNLS Adj. R-squared: 0.431
No. Observations: 616 RMSE: 5.81
Df Residuals: 614 MAE: 3.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.9411 0.6702 0.001 6.6248 9.2315
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 407
R² 0.7112
coef (ms) 0.008568
p-value 1.00e-03
95% CI [0.008077, 0.009121]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.711
Model: NNLS Adj. R-squared: 0.710
No. Observations: 407 RMSE: 154.32
Df Residuals: 405 MAE: 124.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 428.9731 22.2903 0.001 383.9909 472.3830
opcount 0.0086 0.0003 0.001 0.0081 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 165
R² 0.9747
coef (ms) 0.005902
p-value 1.00e-03
95% CI [0.00581, 0.005953]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 165 RMSE: 27.12
Df Residuals: 163 MAE: 19.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.8213 1.000 0.0000 7.1145
opcount 0.0059 0.0000 0.001 0.0058 0.0060
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · ethrex
nobs 275
R² 0.9301
coef (ms) 0.009136
p-value 1.00e-03
95% CI [0.009013, 0.00925]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.930
No. Observations: 275 RMSE: 85.88
Df Residuals: 273 MAE: 72.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0091 0.0001 0.001 0.0090 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 242
R² 0.9715
coef (ms) 0.02405
p-value 1.00e-03
95% CI [0.02348, 0.02459]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.971
No. Observations: 242 RMSE: 116.39
Df Residuals: 240 MAE: 93.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 544.4222 24.2645 0.001 499.2711 595.9641
opcount 0.0240 0.0003 0.001 0.0235 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 198
R² 0.9084
coef (ms) 0.003274
p-value 1.00e-03
95% CI [0.003123, 0.003431]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.908
No. Observations: 198 RMSE: 29.39
Df Residuals: 196 MAE: 21.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.5299 6.7289 0.001 50.7836 77.1992
opcount 0.0033 0.0001 0.001 0.0031 0.0034
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 308
R² 0.9559
coef (ms) 0.001291
p-value 1.00e-03
95% CI [0.00126, 0.001323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 308 RMSE: 7.83
Df Residuals: 306 MAE: 6.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.0131 1.3546 0.001 34.4211 39.6738
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 407
R² 0.9072
coef (ms) 0.01548
p-value 1.00e-03
95% CI [0.01502, 0.01598]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 407 RMSE: 139.86
Df Residuals: 405 MAE: 112.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 575.6341 21.3545 0.001 532.1846 613.4412
opcount 0.0155 0.0003 0.001 0.0150 0.0160
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 165
R² 0.97
coef (ms) 0.005286
p-value 1.00e-03
95% CI [0.005147, 0.005337]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 165 RMSE: 26.27
Df Residuals: 163 MAE: 20.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0454 3.3920 0.500 0.0000 11.0602
opcount 0.0053 0.0000 0.001 0.0051 0.0053
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · ethrex
nobs 275
R² 0.9736
coef (ms) 0.01335
p-value 1.00e-03
95% CI [0.01326, 0.01345]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.973
No. Observations: 275 RMSE: 69.41
Df Residuals: 273 MAE: 57.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0133 0.0000 0.001 0.0133 0.0134
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 242
R² 0.9681
coef (ms) 0.02342
p-value 1.00e-03
95% CI [0.02285, 0.02396]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 242 RMSE: 120.26
Df Residuals: 240 MAE: 95.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 528.6024 23.6523 0.001 482.4126 574.7042
opcount 0.0234 0.0003 0.001 0.0228 0.0240
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · nethermind
nobs 198
R² 0.9781
coef (ms) 0.009158
p-value 1.00e-03
95% CI [0.008975, 0.009359]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 198 RMSE: 38.73
Df Residuals: 196 MAE: 30.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 91.8048 8.2991 0.001 75.9227 108.5449
opcount 0.0092 0.0001 0.001 0.0090 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 308
R² 0.9563
coef (ms) 0.001503
p-value 1.00e-03
95% CI [0.001468, 0.001542]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 308 RMSE: 9.08
Df Residuals: 306 MAE: 7.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.4395 1.6788 0.001 24.8045 31.6115
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 407
R² 0.8638
coef (ms) 0.1419
p-value 1.00e-03
95% CI [0.1367, 0.1477]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 407 RMSE: 34.61
Df Residuals: 405 MAE: 28.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 390.3350 5.4289 0.001 379.0962 401.0516
opcount 0.1419 0.0028 0.001 0.1367 0.1477
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 165
R² 0.9725
coef (ms) 0.07846
p-value 1.00e-03
95% CI [0.07639, 0.08075]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.972
No. Observations: 165 RMSE: 8.10
Df Residuals: 163 MAE: 6.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.4270 2.0581 0.001 43.0695 51.1269
opcount 0.0785 0.0011 0.001 0.0764 0.0807
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · ethrex
nobs 275
R² 0.5659
coef (ms) 0.02123
p-value 1.00e-03
95% CI [0.01905, 0.02352]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.566
Model: NNLS Adj. R-squared: 0.564
No. Observations: 275 RMSE: 11.42
Df Residuals: 273 MAE: 9.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 284.1155 2.4551 0.001 279.2385 288.8958
opcount 0.0212 0.0011 0.001 0.0190 0.0235
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · geth
nobs 242
R² 0.8974
coef (ms) 0.1318
p-value 1.00e-03
95% CI [0.1271, 0.1365]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 242 RMSE: 27.38
Df Residuals: 240 MAE: 19.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.6229 4.7836 0.001 69.7172 88.4804
opcount 0.1318 0.0024 0.001 0.1271 0.1365
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 198
R² 0.6353
coef (ms) 0.04793
p-value 1.00e-03
95% CI [0.04259, 0.05271]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.635
Model: NNLS Adj. R-squared: 0.633
No. Observations: 198 RMSE: 22.30
Df Residuals: 196 MAE: 18.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 104.5859 4.6343 0.001 96.6366 114.8555
opcount 0.0479 0.0026 0.001 0.0426 0.0527
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 308
R² 0.8974
coef (ms) 0.04014
p-value 1.00e-03
95% CI [0.03871, 0.04178]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 308 RMSE: 8.34
Df Residuals: 306 MAE: 6.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.7093 1.5979 0.001 32.5260 38.9045
opcount 0.0401 0.0008 0.001 0.0387 0.0418
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 407
R² 0.9741
coef (ms) 0.06042
p-value 1.00e-03
95% CI [0.05943, 0.0614]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 407 RMSE: 123.46
Df Residuals: 405 MAE: 99.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1060.4618 18.1478 0.001 1025.3380 1098.2786
opcount 0.0604 0.0005 0.001 0.0594 0.0614
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 165
R² 0.9917
coef (ms) 0.07469
p-value 1.00e-03
95% CI [0.07369, 0.0758]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 165 RMSE: 85.64
Df Residuals: 163 MAE: 68.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 230.6848 19.9577 0.001 190.6046 268.1613
opcount 0.0747 0.0005 0.001 0.0737 0.0758
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · ethrex
nobs 275
R² 0.997
coef (ms) 0.02429
p-value 1.00e-03
95% CI [0.02415, 0.02445]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 275 RMSE: 16.72
Df Residuals: 273 MAE: 13.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 347.5405 3.0708 0.001 341.3537 353.2918
opcount 0.0243 0.0001 0.001 0.0242 0.0244
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 242
R² 0.9825
coef (ms) 0.09265
p-value 1.00e-03
95% CI [0.09102, 0.09418]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 242 RMSE: 154.85
Df Residuals: 240 MAE: 128.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 671.8426 32.5390 0.001 610.0570 734.0061
opcount 0.0926 0.0008 0.001 0.0910 0.0942
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 198
R² 0.9193
coef (ms) 0.03645
p-value 1.00e-03
95% CI [0.03478, 0.03815]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.919
No. Observations: 198 RMSE: 135.27
Df Residuals: 196 MAE: 109.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 766.3037 33.3338 0.001 700.9958 830.9588
opcount 0.0364 0.0008 0.001 0.0348 0.0382
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 308
R² 0.9941
coef (ms) 0.02387
p-value 1.00e-03
95% CI [0.02369, 0.02406]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 308 RMSE: 23.00
Df Residuals: 306 MAE: 17.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 168.8354 3.6739 0.001 161.4169 175.6716
opcount 0.0239 0.0001 0.001 0.0237 0.0241
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 407
R² 0.8385
coef (ms) 0.01285
p-value 1.00e-03
95% CI [0.01227, 0.01343]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 407 RMSE: 134.77
Df Residuals: 405 MAE: 113.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 486.2167 21.5415 0.001 445.0086 531.3793
opcount 0.0128 0.0003 0.001 0.0123 0.0134
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 165
R² 0.9715
coef (ms) 0.008951
p-value 1.00e-03
95% CI [0.008709, 0.009159]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 165 RMSE: 36.65
Df Residuals: 163 MAE: 28.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5868 7.6373 0.076 0.0000 27.0164
opcount 0.0090 0.0001 0.001 0.0087 0.0092
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · ethrex
nobs 275
R² 0.9921
coef (ms) 0.006932
p-value 1.00e-03
95% CI [0.006858, 0.007013]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 275 RMSE: 14.74
Df Residuals: 273 MAE: 11.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.7752 2.8209 0.001 40.2833 51.1685
opcount 0.0069 0.0000 0.001 0.0069 0.0070
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 242
R² 0.915
coef (ms) 0.01055
p-value 1.00e-03
95% CI [0.01009, 0.011]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 242 RMSE: 76.88
Df Residuals: 240 MAE: 63.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 422.9416 19.7402 0.001 383.7632 461.2068
opcount 0.0106 0.0002 0.001 0.0101 0.0110
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 198
R² 0.7667
coef (ms) 0.003929
p-value 1.00e-03
95% CI [0.003628, 0.004206]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.767
Model: NNLS Adj. R-squared: 0.765
No. Observations: 198 RMSE: 51.80
Df Residuals: 196 MAE: 40.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.0649 11.4631 0.001 81.1537 125.0178
opcount 0.0039 0.0001 0.001 0.0036 0.0042
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 308
R² 0.9424
coef (ms) 0.001069
p-value 1.00e-03
95% CI [0.001043, 0.001098]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.942
Model: NNLS Adj. R-squared: 0.942
No. Observations: 308 RMSE: 6.31
Df Residuals: 306 MAE: 4.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.1213 1.0968 0.001 36.9799 41.1966
opcount 0.0011 0.0000 0.001 0.0010 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 407
R² 0.8852
coef (ms) 0.01349
p-value 1.00e-03
95% CI [0.01302, 0.01397]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 407 RMSE: 116.10
Df Residuals: 405 MAE: 104.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 487.1444 19.2762 0.001 450.7782 524.7161
opcount 0.0135 0.0003 0.001 0.0130 0.0140
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 165
R² 0.9747
coef (ms) 0.008021
p-value 1.00e-03
95% CI [0.007807, 0.008153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 165 RMSE: 30.86
Df Residuals: 163 MAE: 23.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8028 6.0244 0.216 0.0000 20.0916
opcount 0.0080 0.0001 0.001 0.0078 0.0082
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9652
coef (ms) 0.001891
p-value 1.00e-03
95% CI [0.001848, 0.001932]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 275 RMSE: 8.58
Df Residuals: 273 MAE: 6.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4487 1.7951 0.001 26.0179 33.0756
opcount 0.0019 0.0000 0.001 0.0018 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.8577
coef (ms) 0.02148
p-value 1.00e-03
95% CI [0.02033, 0.02259]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.857
No. Observations: 242 RMSE: 209.12
Df Residuals: 240 MAE: 176.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 706.9875 52.0082 0.001 608.7332 808.6192
opcount 0.0215 0.0006 0.001 0.0203 0.0226
==============================================================================
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 198
R² 0.7737
coef (ms) 0.00361
p-value 1.00e-03
95% CI [0.003349, 0.003871]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.773
No. Observations: 198 RMSE: 46.66
Df Residuals: 196 MAE: 32.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.7286 9.2168 0.001 71.8462 107.7749
opcount 0.0036 0.0001 0.001 0.0033 0.0039
==============================================================================
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 308
R² 0.9026
coef (ms) 0.0007625
p-value 1.00e-03
95% CI [0.0007355, 0.00079]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 308 RMSE: 5.99
Df Residuals: 306 MAE: 4.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.9607 1.0059 0.001 42.0682 45.9563
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 407
R² 0.8876
coef (ms) 0.02507
p-value 1.00e-03
95% CI [0.0243, 0.02581]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.887
No. Observations: 407 RMSE: 185.58
Df Residuals: 405 MAE: 156.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 539.2354 25.0870 0.001 490.6093 588.7369
opcount 0.0251 0.0004 0.001 0.0243 0.0258
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 165
R² 0.9328
coef (ms) 0.02471
p-value 1.00e-03
95% CI [0.02366, 0.02557]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.932
No. Observations: 165 RMSE: 138.00
Df Residuals: 163 MAE: 119.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 379.3412 36.9753 0.001 313.4759 457.2513
opcount 0.0247 0.0005 0.001 0.0237 0.0256
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.9931
coef (ms) 0.007378
p-value 1.00e-03
95% CI [0.007313, 0.007445]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 275 RMSE: 12.83
Df Residuals: 273 MAE: 9.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.6808 2.2697 0.001 41.1547 49.9671
opcount 0.0074 0.0000 0.001 0.0073 0.0074
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 242
R² 0.854
coef (ms) 0.02295
p-value 1.00e-03
95% CI [0.02168, 0.02419]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.853
No. Observations: 242 RMSE: 197.42
Df Residuals: 240 MAE: 165.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 666.2250 46.8581 0.001 572.3663 760.4997
opcount 0.0229 0.0006 0.001 0.0217 0.0242
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 198
R² 0.5708
coef (ms) 0.0134
p-value 1.00e-03
95% CI [0.01166, 0.01523]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.571
Model: NNLS Adj. R-squared: 0.569
No. Observations: 198 RMSE: 241.76
Df Residuals: 196 MAE: 183.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 161.9544 51.9350 0.002 55.8445 264.0942
opcount 0.0134 0.0009 0.001 0.0117 0.0152
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 308
R² 0.9786
coef (ms) 0.003975
p-value 1.00e-03
95% CI [0.00391, 0.004042]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.979
No. Observations: 308 RMSE: 12.22
Df Residuals: 306 MAE: 9.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.5440 2.2789 0.001 91.0109 99.8841
opcount 0.0040 0.0000 0.001 0.0039 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8852
coef (ms) 0.01349
p-value 1.00e-03
95% CI [0.01302, 0.01397]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.885
Model: NNLS Adj. R-squared: 0.885
No. Observations: 407 RMSE: 116.10
Df Residuals: 405 MAE: 104.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 487.1444 19.2762 0.001 450.7782 524.7161
opcount 0.0135 0.0003 0.001 0.0130 0.0140
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 165
R² 0.9747
coef (ms) 0.008021
p-value 1.00e-03
95% CI [0.007807, 0.008153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 165 RMSE: 30.86
Df Residuals: 163 MAE: 23.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8028 6.0244 0.216 0.0000 20.0916
opcount 0.0080 0.0001 0.001 0.0078 0.0082
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9652
coef (ms) 0.001891
p-value 1.00e-03
95% CI [0.001848, 0.001932]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 275 RMSE: 8.58
Df Residuals: 273 MAE: 6.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.4487 1.7951 0.001 26.0179 33.0756
opcount 0.0019 0.0000 0.001 0.0018 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.8577
coef (ms) 0.02148
p-value 1.00e-03
95% CI [0.02033, 0.02259]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.857
No. Observations: 242 RMSE: 209.12
Df Residuals: 240 MAE: 176.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 706.9875 52.0082 0.001 608.7332 808.6192
opcount 0.0215 0.0006 0.001 0.0203 0.0226
==============================================================================
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 198
R² 0.7737
coef (ms) 0.00361
p-value 1.00e-03
95% CI [0.003349, 0.003871]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.774
Model: NNLS Adj. R-squared: 0.773
No. Observations: 198 RMSE: 46.66
Df Residuals: 196 MAE: 32.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.7286 9.2168 0.001 71.8462 107.7749
opcount 0.0036 0.0001 0.001 0.0033 0.0039
==============================================================================
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 308
R² 0.9026
coef (ms) 0.0007625
p-value 1.00e-03
95% CI [0.0007355, 0.00079]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 308 RMSE: 5.99
Df Residuals: 306 MAE: 4.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.9607 1.0059 0.001 42.0682 45.9563
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 407
R² 0.2589
coef (ms) 0.0002033
p-value 1.00e-03
95% CI [0.0001697, 0.000233]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.259
Model: NNLS Adj. R-squared: 0.257
No. Observations: 407 RMSE: 201.12
Df Residuals: 405 MAE: 164.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 470.1406 31.6714 0.001 411.5173 538.4614
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 165
R² 0.8911
coef (ms) 4.449e-05
p-value 1.00e-03
95% CI [4.216e-05, 4.71e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.890
No. Observations: 165 RMSE: 9.09
Df Residuals: 163 MAE: 7.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.6256 2.1096 0.001 20.3208 28.6250
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · ethrex
nobs 275
R² 0.7438
coef (ms) 1.472e-05
p-value 1.00e-03
95% CI [1.395e-05, 1.554e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.744
Model: NNLS Adj. R-squared: 0.743
No. Observations: 275 RMSE: 5.05
Df Residuals: 273 MAE: 3.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.4417 0.7424 0.001 7.0247 9.8172
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · geth
nobs 242
R² 0.8046
coef (ms) 2.903e-05
p-value 1.00e-03
95% CI [2.727e-05, 3.082e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.805
Model: NNLS Adj. R-squared: 0.804
No. Observations: 242 RMSE: 8.37
Df Residuals: 240 MAE: 6.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.7507 1.5652 0.001 14.8575 20.9293
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 198
R² 0.7428
coef (ms) 0.000143
p-value 1.00e-03
95% CI [0.000132, 0.0001539]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.743
Model: NNLS Adj. R-squared: 0.742
No. Observations: 198 RMSE: 49.20
Df Residuals: 196 MAE: 35.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 93.1701 10.3018 0.001 72.8993 113.5818
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · reth
nobs 308
R² 0.6973
coef (ms) 1.293e-05
p-value 1.00e-03
95% CI [1.201e-05, 1.394e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.697
Model: NNLS Adj. R-squared: 0.696
No. Observations: 308 RMSE: 4.98
Df Residuals: 306 MAE: 3.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.8033 0.8878 0.001 5.9212 9.3949
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 407
R² 0.8432
coef (ms) 0.01563
p-value 1.00e-03
95% CI [0.01495, 0.01625]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.843
Model: NNLS Adj. R-squared: 0.843
No. Observations: 407 RMSE: 160.09
Df Residuals: 405 MAE: 134.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 606.5014 25.1707 0.001 561.3060 659.6711
opcount 0.0156 0.0003 0.001 0.0149 0.0162
==============================================================================
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 165
R² 0.9731
coef (ms) 0.01014
p-value 1.00e-03
95% CI [0.009907, 0.01044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 165 RMSE: 40.02
Df Residuals: 163 MAE: 31.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.2477 9.5309 0.001 17.6511 54.3103
opcount 0.0101 0.0001 0.001 0.0099 0.0104
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9944
coef (ms) 0.006955
p-value 1.00e-03
95% CI [0.006895, 0.007017]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 12.43
Df Residuals: 273 MAE: 9.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.0123 2.5317 0.001 44.3382 53.9352
opcount 0.0070 0.0000 0.001 0.0069 0.0070
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.9079
coef (ms) 0.0108
p-value 1.00e-03
95% CI [0.01029, 0.01131]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.908
No. Observations: 242 RMSE: 81.67
Df Residuals: 240 MAE: 67.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 418.5308 21.3403 0.001 377.9693 461.7609
opcount 0.0108 0.0003 0.001 0.0103 0.0113
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · nethermind
nobs 198
R² 0.7781
coef (ms) 0.004834
p-value 1.00e-03
95% CI [0.004407, 0.005243]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.777
No. Observations: 198 RMSE: 61.29
Df Residuals: 196 MAE: 43.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.2738 13.8437 0.001 42.5865 96.8946
opcount 0.0048 0.0002 0.001 0.0044 0.0052
==============================================================================
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 308
R² 0.9526
coef (ms) 0.001108
p-value 1.00e-03
95% CI [0.001079, 0.001135]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.952
No. Observations: 308 RMSE: 5.87
Df Residuals: 306 MAE: 4.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.4200 1.0506 0.001 38.4248 42.4919
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 407
R² 0.8692
coef (ms) 0.01646
p-value 1.00e-03
95% CI [0.01584, 0.01709]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 407 RMSE: 151.61
Df Residuals: 405 MAE: 135.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 528.4794 23.8086 0.001 482.8576 574.5882
opcount 0.0165 0.0003 0.001 0.0158 0.0171
==============================================================================
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 165
R² 0.9782
coef (ms) 0.009045
p-value 1.00e-03
95% CI [0.008852, 0.009267]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 165 RMSE: 32.09
Df Residuals: 163 MAE: 23.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.4850 7.5263 0.008 5.3199 34.8628
opcount 0.0090 0.0001 0.001 0.0089 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9708
coef (ms) 0.001991
p-value 1.00e-03
95% CI [0.001947, 0.002032]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 275 RMSE: 8.20
Df Residuals: 273 MAE: 6.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4986 1.6117 0.001 23.5646 29.8011
opcount 0.0020 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.8606
coef (ms) 0.022
p-value 1.00e-03
95% CI [0.02081, 0.02323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 242 RMSE: 210.21
Df Residuals: 240 MAE: 176.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 703.8662 51.5673 0.001 601.6968 803.0913
opcount 0.0220 0.0006 0.001 0.0208 0.0232
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 198
R² 0.8324
coef (ms) 0.004357
p-value 1.00e-03
95% CI [0.004094, 0.004629]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 198 RMSE: 46.42
Df Residuals: 196 MAE: 34.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.3015 9.1958 0.001 57.2192 94.1425
opcount 0.0044 0.0001 0.001 0.0041 0.0046
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 308
R² 0.921
coef (ms) 0.0008251
p-value 1.00e-03
95% CI [0.0008003, 0.0008539]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.921
Model: NNLS Adj. R-squared: 0.921
No. Observations: 308 RMSE: 5.74
Df Residuals: 306 MAE: 4.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.5276 0.9965 0.001 42.5317 46.3543
opcount 0.0008 0.0000 0.001 0.0008 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8961
coef (ms) 0.0273
p-value 1.00e-03
95% CI [0.02638, 0.02816]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 407 RMSE: 189.18
Df Residuals: 405 MAE: 159.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 588.1252 28.6313 0.001 534.5180 645.9769
opcount 0.0273 0.0005 0.001 0.0264 0.0282
==============================================================================
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 165
R² 0.8958
coef (ms) 0.04974
p-value 1.00e-03
95% CI [0.04711, 0.05203]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.895
No. Observations: 165 RMSE: 345.12
Df Residuals: 163 MAE: 296.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 836.0418 92.6979 0.001 667.0683 1033.9576
opcount 0.0497 0.0012 0.001 0.0471 0.0520
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9932
coef (ms) 0.00756
p-value 1.00e-03
95% CI [0.007487, 0.007633]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 275 RMSE: 12.77
Df Residuals: 273 MAE: 9.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.2123 2.2992 0.001 36.8021 45.8269
opcount 0.0076 0.0000 0.001 0.0075 0.0076
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.8575
coef (ms) 0.02333
p-value 1.00e-03
95% CI [0.02205, 0.02455]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.857
No. Observations: 242 RMSE: 193.51
Df Residuals: 240 MAE: 162.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 672.2593 46.9449 0.001 581.8425 760.3210
opcount 0.0233 0.0006 0.001 0.0221 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · nethermind
nobs 198
R² 0.6176
coef (ms) 0.01498
p-value 1.00e-03
95% CI [0.01322, 0.01697]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.618
Model: NNLS Adj. R-squared: 0.616
No. Observations: 198 RMSE: 239.81
Df Residuals: 196 MAE: 169.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 141.3669 52.4686 0.006 31.8935 243.2457
opcount 0.0150 0.0009 0.001 0.0132 0.0170
==============================================================================
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 308
R² 0.9778
coef (ms) 0.004003
p-value 1.00e-03
95% CI [0.003935, 0.004068]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 308 RMSE: 12.27
Df Residuals: 306 MAE: 9.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.9524 2.1328 0.001 97.7894 106.2558
opcount 0.0040 0.0000 0.001 0.0039 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8692
coef (ms) 0.01646
p-value 1.00e-03
95% CI [0.01584, 0.01709]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 407 RMSE: 151.61
Df Residuals: 405 MAE: 135.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 528.4794 23.8086 0.001 482.8576 574.5882
opcount 0.0165 0.0003 0.001 0.0158 0.0171
==============================================================================
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 165
R² 0.9782
coef (ms) 0.009045
p-value 1.00e-03
95% CI [0.008852, 0.009267]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 165 RMSE: 32.09
Df Residuals: 163 MAE: 23.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.4850 7.5263 0.008 5.3199 34.8628
opcount 0.0090 0.0001 0.001 0.0089 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9708
coef (ms) 0.001991
p-value 1.00e-03
95% CI [0.001947, 0.002032]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 275 RMSE: 8.20
Df Residuals: 273 MAE: 6.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4986 1.6117 0.001 23.5646 29.8011
opcount 0.0020 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.8606
coef (ms) 0.022
p-value 1.00e-03
95% CI [0.02081, 0.02323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 242 RMSE: 210.21
Df Residuals: 240 MAE: 176.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 703.8662 51.5673 0.001 601.6968 803.0913
opcount 0.0220 0.0006 0.001 0.0208 0.0232
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 198
R² 0.8324
coef (ms) 0.004357
p-value 1.00e-03
95% CI [0.004094, 0.004629]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.832
No. Observations: 198 RMSE: 46.42
Df Residuals: 196 MAE: 34.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 75.3015 9.1958 0.001 57.2192 94.1425
opcount 0.0044 0.0001 0.001 0.0041 0.0046
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 308
R² 0.921
coef (ms) 0.0008251
p-value 1.00e-03
95% CI [0.0008003, 0.0008539]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.921
Model: NNLS Adj. R-squared: 0.921
No. Observations: 308 RMSE: 5.74
Df Residuals: 306 MAE: 4.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.5276 0.9965 0.001 42.5317 46.3543
opcount 0.0008 0.0000 0.001 0.0008 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 407
R² 0.9459
coef (ms) 0.0603
p-value 1.00e-03
95% CI [0.05874, 0.06174]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.946
No. Observations: 407 RMSE: 97.01
Df Residuals: 405 MAE: 78.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 335.0519 16.0089 0.001 305.3415 367.9785
opcount 0.0603 0.0008 0.001 0.0587 0.0617
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · erigon
nobs 165
R² 0.9796
coef (ms) 0.06011
p-value 1.00e-03
95% CI [0.05884, 0.0613]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.979
No. Observations: 165 RMSE: 58.35
Df Residuals: 163 MAE: 44.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 192.5393 13.0961 0.001 168.8919 220.1050
opcount 0.0601 0.0006 0.001 0.0588 0.0613
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · ethrex
nobs 275
R² 0.9896
coef (ms) 0.0231
p-value 1.00e-03
95% CI [0.02283, 0.02337]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 275 RMSE: 15.95
Df Residuals: 273 MAE: 12.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.9870 3.0327 0.001 116.9034 128.7939
opcount 0.0231 0.0001 0.001 0.0228 0.0234
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · geth
nobs 242
R² 0.9687
coef (ms) 0.05799
p-value 1.00e-03
95% CI [0.05668, 0.05918]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 242 RMSE: 70.18
Df Residuals: 240 MAE: 60.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 190.6942 12.9998 0.001 166.1302 216.0546
opcount 0.0580 0.0006 0.001 0.0567 0.0592
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · nethermind
nobs 198
R² 0.7463
coef (ms) 0.03128
p-value 1.00e-03
95% CI [0.02896, 0.03349]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.745
No. Observations: 198 RMSE: 122.73
Df Residuals: 196 MAE: 90.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 203.9017 23.1623 0.001 160.1311 250.7947
opcount 0.0313 0.0012 0.001 0.0290 0.0335
==============================================================================
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 308
R² 0.987
coef (ms) 0.02325
p-value 1.00e-03
95% CI [0.02296, 0.02356]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.987
Model: NNLS Adj. R-squared: 0.987
No. Observations: 308 RMSE: 17.96
Df Residuals: 306 MAE: 13.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.0401 3.0422 0.001 94.3642 105.6300
opcount 0.0233 0.0002 0.001 0.0230 0.0236
==============================================================================
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 407
R² 0.8261
coef (ms) 0.1809
p-value 1.00e-03
95% CI [0.172, 0.1894]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 407 RMSE: 27.33
Df Residuals: 405 MAE: 22.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 252.6724 5.2666 0.001 242.2438 263.3248
opcount 0.1809 0.0046 0.001 0.1720 0.1894
==============================================================================
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 165
R² 0.9772
coef (ms) 0.1593
p-value 1.00e-03
95% CI [0.1555, 0.1626]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 165 RMSE: 8.02
Df Residuals: 163 MAE: 6.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.1175 2.0375 0.001 38.4122 46.3206
opcount 0.1593 0.0018 0.001 0.1555 0.1626
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · ethrex
nobs 275
R² 0.4979
coef (ms) 0.01532
p-value 1.00e-03
95% CI [0.01358, 0.01702]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.498
Model: NNLS Adj. R-squared: 0.496
No. Observations: 275 RMSE: 5.07
Df Residuals: 273 MAE: 3.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2062 1.0095 0.001 12.3503 16.2582
opcount 0.0153 0.0009 0.001 0.0136 0.0170
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · geth
nobs 242
R² 0.8764
coef (ms) 0.09568
p-value 1.00e-03
95% CI [0.09101, 0.1002]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.876
No. Observations: 242 RMSE: 11.83
Df Residuals: 240 MAE: 9.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.0588 2.3603 0.001 52.6445 61.8192
opcount 0.0957 0.0024 0.001 0.0910 0.1002
==============================================================================
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 198
R² 0.7943
coef (ms) 0.05181
p-value 1.00e-03
95% CI [0.04843, 0.05545]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.793
No. Observations: 198 RMSE: 8.68
Df Residuals: 196 MAE: 6.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.4545 1.9118 0.001 17.6569 24.9039
opcount 0.0518 0.0018 0.001 0.0484 0.0554
==============================================================================
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 308
R² 0.4198
coef (ms) 0.02603
p-value 1.00e-03
95% CI [0.02235, 0.02907]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.420
Model: NNLS Adj. R-squared: 0.418
No. Observations: 308 RMSE: 10.08
Df Residuals: 306 MAE: 5.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.3399 2.0045 0.001 13.0797 20.6533
opcount 0.0260 0.0018 0.001 0.0223 0.0291
==============================================================================
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 407
R² 0.9585
coef (ms) 0.07871
p-value 1.00e-03
95% CI [0.07698, 0.0805]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.959
Model: NNLS Adj. R-squared: 0.958
No. Observations: 407 RMSE: 105.16
Df Residuals: 405 MAE: 88.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 680.1322 16.4925 0.001 648.1111 711.7309
opcount 0.0787 0.0009 0.001 0.0770 0.0805
==============================================================================
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 165
R² 0.9915
coef (ms) 0.2171
p-value 1.00e-03
95% CI [0.2141, 0.2203]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.991
No. Observations: 165 RMSE: 128.89
Df Residuals: 163 MAE: 101.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1652.3234 28.1581 0.001 1597.8788 1706.3425
opcount 0.2171 0.0016 0.001 0.2141 0.2203
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · ethrex
nobs 275
R² 0.9896
coef (ms) 0.02406
p-value 1.00e-03
95% CI [0.02379, 0.02433]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 275 RMSE: 15.81
Df Residuals: 273 MAE: 12.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 117.2467 3.0308 0.001 111.7057 123.1046
opcount 0.0241 0.0001 0.001 0.0238 0.0243
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 242
R² 0.9766
coef (ms) 0.09729
p-value 1.00e-03
95% CI [0.09524, 0.09924]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 242 RMSE: 96.73
Df Residuals: 240 MAE: 83.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 298.5244 19.9180 0.001 262.8751 338.1712
opcount 0.0973 0.0010 0.001 0.0952 0.0992
==============================================================================
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 198
R² 0.8621
coef (ms) 0.04647
p-value 1.00e-03
95% CI [0.04404, 0.04926]
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: 119.37
Df Residuals: 196 MAE: 94.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 203.8266 24.2434 0.001 155.1164 246.9537
opcount 0.0465 0.0014 0.001 0.0440 0.0493
==============================================================================
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 308
R² 0.9832
coef (ms) 0.02784
p-value 1.00e-03
95% CI [0.02742, 0.02827]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 308 RMSE: 23.39
Df Residuals: 306 MAE: 18.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 125.7390 4.5580 0.001 116.7609 134.2138
opcount 0.0278 0.0002 0.001 0.0274 0.0283
==============================================================================
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 407
R² 0.8261
coef (ms) 0.1809
p-value 1.00e-03
95% CI [0.172, 0.1894]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.826
No. Observations: 407 RMSE: 27.33
Df Residuals: 405 MAE: 22.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 252.6724 5.2666 0.001 242.2438 263.3248
opcount 0.1809 0.0046 0.001 0.1720 0.1894
==============================================================================
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 165
R² 0.9772
coef (ms) 0.1593
p-value 1.00e-03
95% CI [0.1555, 0.1626]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 165 RMSE: 8.02
Df Residuals: 163 MAE: 6.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.1175 2.0375 0.001 38.4122 46.3206
opcount 0.1593 0.0018 0.001 0.1555 0.1626
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · ethrex
nobs 275
R² 0.4979
coef (ms) 0.01532
p-value 1.00e-03
95% CI [0.01358, 0.01702]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.498
Model: NNLS Adj. R-squared: 0.496
No. Observations: 275 RMSE: 5.07
Df Residuals: 273 MAE: 3.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.2062 1.0095 0.001 12.3503 16.2582
opcount 0.0153 0.0009 0.001 0.0136 0.0170
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · geth
nobs 242
R² 0.8764
coef (ms) 0.09568
p-value 1.00e-03
95% CI [0.09101, 0.1002]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.876
No. Observations: 242 RMSE: 11.83
Df Residuals: 240 MAE: 9.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.0588 2.3603 0.001 52.6445 61.8192
opcount 0.0957 0.0024 0.001 0.0910 0.1002
==============================================================================
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 198
R² 0.7943
coef (ms) 0.05181
p-value 1.00e-03
95% CI [0.04843, 0.05545]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.794
Model: NNLS Adj. R-squared: 0.793
No. Observations: 198 RMSE: 8.68
Df Residuals: 196 MAE: 6.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.4545 1.9118 0.001 17.6569 24.9039
opcount 0.0518 0.0018 0.001 0.0484 0.0554
==============================================================================
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 308
R² 0.4198
coef (ms) 0.02603
p-value 1.00e-03
95% CI [0.02235, 0.02907]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.420
Model: NNLS Adj. R-squared: 0.418
No. Observations: 308 RMSE: 10.08
Df Residuals: 306 MAE: 5.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.3399 2.0045 0.001 13.0797 20.6533
opcount 0.0260 0.0018 0.001 0.0223 0.0291
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 407
R² 0.7407
coef (ms) 0.0005214
p-value 1.00e-03
95% CI [0.0004923, 0.0005528]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.741
Model: NNLS Adj. R-squared: 0.740
No. Observations: 407 RMSE: 155.83
Df Residuals: 405 MAE: 122.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 569.3262 23.9193 0.001 525.2169 616.0685
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · erigon
nobs 165
R² 0.9135
coef (ms) 0.0004802
p-value 1.00e-03
95% CI [0.0004571, 0.0005052]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.913
Model: NNLS Adj. R-squared: 0.913
No. Observations: 165 RMSE: 74.68
Df Residuals: 163 MAE: 54.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.5578 17.4472 0.003 19.5410 89.1221
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 275
R² 0.9256
coef (ms) 9.881e-05
p-value 1.00e-03
95% CI [9.511e-05, 0.0001025]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.925
No. Observations: 275 RMSE: 14.16
Df Residuals: 273 MAE: 10.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.8892 3.0237 0.001 38.3036 49.9634
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · geth
nobs 242
R² 0.8756
coef (ms) 0.0001301
p-value 1.00e-03
95% CI [0.0001235, 0.0001367]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.875
No. Observations: 242 RMSE: 24.78
Df Residuals: 240 MAE: 18.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.0647 5.1353 0.001 40.9897 61.1007
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 198
R² 0.6886
coef (ms) 0.0003602
p-value 1.00e-03
95% CI [0.0003239, 0.0003924]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.689
Model: NNLS Adj. R-squared: 0.687
No. Observations: 198 RMSE: 122.39
Df Residuals: 196 MAE: 96.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 193.2858 25.1231 0.001 145.4124 242.6895
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · reth
nobs 308
R² 0.928
coef (ms) 6.01e-05
p-value 1.00e-03
95% CI [5.812e-05, 6.198e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 308 RMSE: 8.45
Df Residuals: 306 MAE: 6.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6422 1.6784 0.001 17.6373 24.1376
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · besu
nobs 407
R² 0.8459
coef (ms) 0.01494
p-value 1.00e-03
95% CI [0.01429, 0.01551]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.846
Model: NNLS Adj. R-squared: 0.846
No. Observations: 407 RMSE: 151.46
Df Residuals: 405 MAE: 128.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 540.9502 23.2270 0.001 498.6461 588.1713
opcount 0.0149 0.0003 0.001 0.0143 0.0155
==============================================================================
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 165
R² 0.9724
coef (ms) 0.009089
p-value 1.00e-03
95% CI [0.008874, 0.009314]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 165 RMSE: 36.37
Df Residuals: 163 MAE: 28.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8709 7.7593 0.001 16.1946 46.8512
opcount 0.0091 0.0001 0.001 0.0089 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9939
coef (ms) 0.006944
p-value 1.00e-03
95% CI [0.006881, 0.007009]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 12.94
Df Residuals: 273 MAE: 10.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.2231 2.3596 0.001 44.2994 53.8826
opcount 0.0069 0.0000 0.001 0.0069 0.0070
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.9153
coef (ms) 0.01101
p-value 1.00e-03
95% CI [0.01052, 0.01148]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.915
No. Observations: 242 RMSE: 79.49
Df Residuals: 240 MAE: 65.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 411.4127 21.6055 0.001 371.5377 453.7980
opcount 0.0110 0.0003 0.001 0.0105 0.0115
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · nethermind
nobs 198
R² 0.7813
coef (ms) 0.004196
p-value 1.00e-03
95% CI [0.003891, 0.004521]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.780
No. Observations: 198 RMSE: 52.72
Df Residuals: 196 MAE: 36.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.1715 10.6721 0.001 64.6673 106.3029
opcount 0.0042 0.0002 0.001 0.0039 0.0045
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · reth
nobs 308
R² 0.9514
coef (ms) 0.001083
p-value 1.00e-03
95% CI [0.001054, 0.001113]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.951
Model: NNLS Adj. R-squared: 0.951
No. Observations: 308 RMSE: 5.82
Df Residuals: 306 MAE: 4.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.2671 1.1293 0.001 39.0678 43.5138
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 407
R² 0.8808
coef (ms) 0.0151
p-value 1.00e-03
95% CI [0.01454, 0.01565]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.880
No. Observations: 407 RMSE: 131.89
Df Residuals: 405 MAE: 117.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 513.0156 21.1794 0.001 471.9053 555.3103
opcount 0.0151 0.0003 0.001 0.0145 0.0156
==============================================================================
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 165
R² 0.9729
coef (ms) 0.008529
p-value 1.00e-03
95% CI [0.008342, 0.008735]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 165 RMSE: 33.80
Df Residuals: 163 MAE: 27.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.1589 6.9560 0.005 5.1859 32.5307
opcount 0.0085 0.0001 0.001 0.0083 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9694
coef (ms) 0.001986
p-value 1.00e-03
95% CI [0.001946, 0.002027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 275 RMSE: 8.38
Df Residuals: 273 MAE: 6.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.2276 1.5514 0.001 26.2733 32.2563
opcount 0.0020 0.0000 0.001 0.0019 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_access] · geth
nobs 242
R² 0.8658
coef (ms) 0.02263
p-value 1.00e-03
95% CI [0.02139, 0.02382]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.865
No. Observations: 242 RMSE: 211.50
Df Residuals: 240 MAE: 179.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 695.3824 51.1146 0.001 602.7743 799.4846
opcount 0.0226 0.0006 0.001 0.0214 0.0238
==============================================================================
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 198
R² 0.8401
coef (ms) 0.004006
p-value 1.00e-03
95% CI [0.003746, 0.004267]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.839
No. Observations: 198 RMSE: 41.51
Df Residuals: 196 MAE: 31.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.6288 9.2167 0.001 61.7534 97.8817
opcount 0.0040 0.0001 0.001 0.0037 0.0043
==============================================================================
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 308
R² 0.8962
coef (ms) 0.0007802
p-value 1.00e-03
95% CI [0.0007526, 0.0008091]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 308 RMSE: 6.30
Df Residuals: 306 MAE: 4.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.5696 1.0331 0.001 44.6269 48.5651
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8948
coef (ms) 0.02705
p-value 1.00e-03
95% CI [0.0262, 0.02789]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.895
No. Observations: 407 RMSE: 188.73
Df Residuals: 405 MAE: 161.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 564.6528 27.0621 0.001 510.7692 618.4742
opcount 0.0270 0.0004 0.001 0.0262 0.0279
==============================================================================
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 165
R² 0.8951
coef (ms) 0.04926
p-value 1.00e-03
95% CI [0.0468, 0.05147]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.894
No. Observations: 165 RMSE: 343.23
Df Residuals: 163 MAE: 294.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 840.2940 91.4313 0.001 673.3133 1025.0672
opcount 0.0493 0.0012 0.001 0.0468 0.0515
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9936
coef (ms) 0.007572
p-value 1.00e-03
95% CI [0.007496, 0.007647]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 12.40
Df Residuals: 273 MAE: 9.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.0496 2.4785 0.001 36.1384 46.2592
opcount 0.0076 0.0000 0.001 0.0075 0.0076
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.859
coef (ms) 0.02352
p-value 1.00e-03
95% CI [0.02228, 0.02488]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.858
No. Observations: 242 RMSE: 193.92
Df Residuals: 240 MAE: 164.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 654.4860 48.3671 0.001 559.8690 743.1265
opcount 0.0235 0.0007 0.001 0.0223 0.0249
==============================================================================
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 198
R² 0.6515
coef (ms) 0.01547
p-value 1.00e-03
95% CI [0.01395, 0.01713]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.652
Model: NNLS Adj. R-squared: 0.650
No. Observations: 198 RMSE: 230.20
Df Residuals: 196 MAE: 169.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 116.9903 46.5298 0.011 22.3459 202.8141
opcount 0.0155 0.0008 0.001 0.0139 0.0171
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · reth
nobs 308
R² 0.9759
coef (ms) 0.003979
p-value 1.00e-03
95% CI [0.003914, 0.004049]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 308 RMSE: 12.72
Df Residuals: 306 MAE: 9.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.3644 2.2786 0.001 96.7202 105.5563
opcount 0.0040 0.0000 0.001 0.0039 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8808
coef (ms) 0.0151
p-value 1.00e-03
95% CI [0.01454, 0.01565]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.880
No. Observations: 407 RMSE: 131.89
Df Residuals: 405 MAE: 117.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 513.0156 21.1794 0.001 471.9053 555.3103
opcount 0.0151 0.0003 0.001 0.0145 0.0156
==============================================================================
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 165
R² 0.9729
coef (ms) 0.008529
p-value 1.00e-03
95% CI [0.008342, 0.008735]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 165 RMSE: 33.80
Df Residuals: 163 MAE: 27.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.1589 6.9560 0.005 5.1859 32.5307
opcount 0.0085 0.0001 0.001 0.0083 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9694
coef (ms) 0.001986
p-value 1.00e-03
95% CI [0.001946, 0.002027]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 275 RMSE: 8.38
Df Residuals: 273 MAE: 6.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.2276 1.5514 0.001 26.2733 32.2563
opcount 0.0020 0.0000 0.001 0.0019 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_access] · geth
nobs 242
R² 0.8658
coef (ms) 0.02263
p-value 1.00e-03
95% CI [0.02139, 0.02382]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.865
No. Observations: 242 RMSE: 211.50
Df Residuals: 240 MAE: 179.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 695.3824 51.1146 0.001 602.7743 799.4846
opcount 0.0226 0.0006 0.001 0.0214 0.0238
==============================================================================
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 198
R² 0.8401
coef (ms) 0.004006
p-value 1.00e-03
95% CI [0.003746, 0.004267]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.839
No. Observations: 198 RMSE: 41.51
Df Residuals: 196 MAE: 31.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 79.6288 9.2167 0.001 61.7534 97.8817
opcount 0.0040 0.0001 0.001 0.0037 0.0043
==============================================================================
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 308
R² 0.8962
coef (ms) 0.0007802
p-value 1.00e-03
95% CI [0.0007526, 0.0008091]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 308 RMSE: 6.30
Df Residuals: 306 MAE: 4.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.5696 1.0331 0.001 44.6269 48.5651
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 407
R² 0.7922
coef (ms) 0.02345
p-value 1.00e-03
95% CI [0.02219, 0.02467]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 407 RMSE: 80.81
Df Residuals: 405 MAE: 68.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.6534 12.8417 0.001 67.8277 116.8179
opcount 0.0234 0.0006 0.001 0.0222 0.0247
==============================================================================
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 165
R² 0.9677
coef (ms) 0.007345
p-value 1.00e-03
95% CI [0.007157, 0.007557]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.967
No. Observations: 165 RMSE: 9.04
Df Residuals: 163 MAE: 7.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.4145 1.9127 0.001 22.4293 30.0848
opcount 0.0073 0.0001 0.001 0.0072 0.0076
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · ethrex
nobs 275
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.004
No. Observations: 275 RMSE: 47.48
Df Residuals: 273 MAE: 37.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 229.0510 2.8886 0.001 223.0860 234.4769
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · geth
nobs 242
R² 0.8736
coef (ms) 0.01319
p-value 1.00e-03
95% CI [0.01252, 0.01383]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.873
No. Observations: 242 RMSE: 33.77
Df Residuals: 240 MAE: 28.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 143.4092 7.8294 0.001 129.4759 158.4556
opcount 0.0132 0.0003 0.001 0.0125 0.0138
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · nethermind
nobs 198
R² 0.7634
coef (ms) 0.004521
p-value 1.00e-03
95% CI [0.004155, 0.004878]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.762
No. Observations: 198 RMSE: 16.94
Df Residuals: 196 MAE: 13.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 64.5100 3.6778 0.001 57.6487 71.7616
opcount 0.0045 0.0002 0.001 0.0042 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_write] · reth
nobs 308
R² 0.8843
coef (ms) 0.001509
p-value 1.00e-03
95% CI [0.001453, 0.001572]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.884
Model: NNLS Adj. R-squared: 0.884
No. Observations: 308 RMSE: 3.67
Df Residuals: 306 MAE: 2.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4389 0.5679 0.001 10.2806 12.5119
opcount 0.0015 0.0000 0.001 0.0015 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · besu
nobs 407
R² 0.3817
coef (ms) 0.005456
p-value 1.00e-03
95% CI [0.004765, 0.006121]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.382
Model: NNLS Adj. R-squared: 0.380
No. Observations: 407 RMSE: 46.74
Df Residuals: 405 MAE: 42.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 301.5731 6.7274 0.001 288.1727 314.6502
opcount 0.0055 0.0003 0.001 0.0048 0.0061
==============================================================================
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 165
R² 0.9215
coef (ms) 0.001889
p-value 1.00e-03
95% CI [0.001811, 0.001973]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.922
Model: NNLS Adj. R-squared: 0.921
No. Observations: 165 RMSE: 3.71
Df Residuals: 163 MAE: 3.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.0293 0.8784 0.001 35.2778 38.7493
opcount 0.0019 0.0000 0.001 0.0018 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · ethrex
nobs 275
R² 0.4828
coef (ms) 0.0004207
p-value 1.00e-03
95% CI [0.0003734, 0.0004728]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.483
Model: NNLS Adj. R-squared: 0.481
No. Observations: 275 RMSE: 2.93
Df Residuals: 273 MAE: 2.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.0750 0.5456 0.001 8.9604 11.0613
opcount 0.0004 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · geth
nobs 242
R² 0.9715
coef (ms) 0.01047
p-value 1.00e-03
95% CI [0.01022, 0.01071]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.971
No. Observations: 242 RMSE: 12.07
Df Residuals: 240 MAE: 9.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 329.4108 2.5225 0.001 324.5118 334.5497
opcount 0.0105 0.0001 0.001 0.0102 0.0107
==============================================================================
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 198
R² 0.5669
coef (ms) 0.001691
p-value 1.00e-03
95% CI [0.001495, 0.001884]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.567
Model: NNLS Adj. R-squared: 0.565
No. Observations: 198 RMSE: 9.95
Df Residuals: 196 MAE: 7.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.1895 2.0475 0.001 37.4042 45.3949
opcount 0.0017 0.0001 0.001 0.0015 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 308
R² 0.4899
coef (ms) 0.0002457
p-value 1.00e-03
95% CI [0.0002186, 0.0002764]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.490
Model: NNLS Adj. R-squared: 0.488
No. Observations: 308 RMSE: 1.69
Df Residuals: 306 MAE: 1.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7969 0.3428 0.001 10.1200 11.4695
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 407
R² 0.7385
coef (ms) 0.02824
p-value 1.00e-03
95% CI [0.02659, 0.02988]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.739
Model: NNLS Adj. R-squared: 0.738
No. Observations: 407 RMSE: 107.92
Df Residuals: 405 MAE: 98.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 308.2105 15.6499 0.001 275.6814 339.4180
opcount 0.0282 0.0008 0.001 0.0266 0.0299
==============================================================================
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 165
R² 0.9176
coef (ms) 0.04533
p-value 1.00e-03
95% CI [0.0432, 0.04726]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.917
No. Observations: 165 RMSE: 87.26
Df Residuals: 163 MAE: 72.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 483.2095 23.6434 0.001 439.5073 533.9070
opcount 0.0453 0.0010 0.001 0.0432 0.0473
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · ethrex
nobs 275
R² 0
coef (ms) 0
p-value 1.00e+00
95% CI [0, 0]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.000
Model: NNLS Adj. R-squared: -0.004
No. Observations: 275 RMSE: 44.69
Df Residuals: 273 MAE: 35.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 231.9845 2.6896 0.001 226.9543 237.5401
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 242
R² 0.8488
coef (ms) 0.02453
p-value 1.00e-03
95% CI [0.02314, 0.02592]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.849
Model: NNLS Adj. R-squared: 0.848
No. Observations: 242 RMSE: 66.49
Df Residuals: 240 MAE: 55.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 255.7279 15.8464 0.001 225.7808 286.8509
opcount 0.0245 0.0007 0.001 0.0231 0.0259
==============================================================================
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 198
R² 0.5977
coef (ms) 0.0153
p-value 1.00e-03
95% CI [0.01352, 0.01726]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.598
Model: NNLS Adj. R-squared: 0.596
No. Observations: 198 RMSE: 80.62
Df Residuals: 196 MAE: 67.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 87.0633 16.1204 0.001 53.8348 116.4178
opcount 0.0153 0.0010 0.001 0.0135 0.0173
==============================================================================
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 308
R² 0.9555
coef (ms) 0.004951
p-value 1.00e-03
95% CI [0.004823, 0.005076]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.955
Model: NNLS Adj. R-squared: 0.955
No. Observations: 308 RMSE: 6.86
Df Residuals: 306 MAE: 5.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.4701 1.2516 0.001 31.0516 35.9932
opcount 0.0050 0.0001 0.001 0.0048 0.0051
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · besu
nobs 407
R² 0.3817
coef (ms) 0.005456
p-value 1.00e-03
95% CI [0.004765, 0.006121]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.382
Model: NNLS Adj. R-squared: 0.380
No. Observations: 407 RMSE: 46.74
Df Residuals: 405 MAE: 42.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 301.5731 6.7274 0.001 288.1727 314.6502
opcount 0.0055 0.0003 0.001 0.0048 0.0061
==============================================================================
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 165
R² 0.9215
coef (ms) 0.001889
p-value 1.00e-03
95% CI [0.001811, 0.001973]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.922
Model: NNLS Adj. R-squared: 0.921
No. Observations: 165 RMSE: 3.71
Df Residuals: 163 MAE: 3.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.0293 0.8784 0.001 35.2778 38.7493
opcount 0.0019 0.0000 0.001 0.0018 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · ethrex
nobs 275
R² 0.4828
coef (ms) 0.0004207
p-value 1.00e-03
95% CI [0.0003734, 0.0004728]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.483
Model: NNLS Adj. R-squared: 0.481
No. Observations: 275 RMSE: 2.93
Df Residuals: 273 MAE: 2.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.0750 0.5456 0.001 8.9604 11.0613
opcount 0.0004 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · geth
nobs 242
R² 0.9715
coef (ms) 0.01047
p-value 1.00e-03
95% CI [0.01022, 0.01071]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.971
No. Observations: 242 RMSE: 12.07
Df Residuals: 240 MAE: 9.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 329.4108 2.5225 0.001 324.5118 334.5497
opcount 0.0105 0.0001 0.001 0.0102 0.0107
==============================================================================
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 198
R² 0.5669
coef (ms) 0.001691
p-value 1.00e-03
95% CI [0.001495, 0.001884]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.567
Model: NNLS Adj. R-squared: 0.565
No. Observations: 198 RMSE: 9.95
Df Residuals: 196 MAE: 7.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.1895 2.0475 0.001 37.4042 45.3949
opcount 0.0017 0.0001 0.001 0.0015 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 308
R² 0.4899
coef (ms) 0.0002457
p-value 1.00e-03
95% CI [0.0002186, 0.0002764]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.490
Model: NNLS Adj. R-squared: 0.488
No. Observations: 308 RMSE: 1.69
Df Residuals: 306 MAE: 1.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.7969 0.3428 0.001 10.1200 11.4695
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · besu
nobs 407
R² 0.7215
coef (ms) 0.0006885
p-value 1.00e-03
95% CI [0.0006469, 0.0007303]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.721
Model: NNLS Adj. R-squared: 0.721
No. Observations: 407 RMSE: 216.14
Df Residuals: 405 MAE: 166.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 787.1384 34.1330 0.001 719.3374 852.9868
opcount 0.0007 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 165
R² 0.9206
coef (ms) 0.000264
p-value 1.00e-03
95% CI [0.0002524, 0.0002764]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.921
Model: NNLS Adj. R-squared: 0.920
No. Observations: 165 RMSE: 39.17
Df Residuals: 163 MAE: 30.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.0229 9.3049 0.001 20.9549 56.6900
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · ethrex
nobs 275
R² 0.9312
coef (ms) 0.0001018
p-value 1.00e-03
95% CI [9.847e-05, 0.0001052]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.931
No. Observations: 275 RMSE: 13.98
Df Residuals: 273 MAE: 10.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.8789 2.5083 0.001 31.8311 41.8175
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · geth
nobs 242
R² 0.8966
coef (ms) 0.0001803
p-value 1.00e-03
95% CI [0.0001727, 0.0001881]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.896
No. Observations: 242 RMSE: 30.93
Df Residuals: 240 MAE: 23.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.6245 5.9468 0.001 39.2665 61.8232
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · nethermind
nobs 198
R² 0.7792
coef (ms) 0.000222
p-value 1.00e-03
95% CI [0.0002049, 0.0002402]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.778
No. Observations: 198 RMSE: 59.71
Df Residuals: 196 MAE: 47.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 160.7766 13.8271 0.001 133.4095 187.5382
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · reth
nobs 308
R² 0.9181
coef (ms) 6.004e-05
p-value 1.00e-03
95% CI [5.805e-05, 6.197e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 308 RMSE: 9.06
Df Residuals: 306 MAE: 7.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.2359 1.5493 0.001 18.2288 24.5026
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · besu
nobs 407
R² 0.8277
coef (ms) 0.01459
p-value 1.00e-03
95% CI [0.01395, 0.01523]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.828
Model: NNLS Adj. R-squared: 0.827
No. Observations: 407 RMSE: 158.26
Df Residuals: 405 MAE: 133.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 550.9439 23.7799 0.001 505.9118 598.4397
opcount 0.0146 0.0003 0.001 0.0140 0.0152
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 165
R² 0.9754
coef (ms) 0.009155
p-value 1.00e-03
95% CI [0.008945, 0.009369]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 165 RMSE: 34.54
Df Residuals: 163 MAE: 28.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.0185 7.1904 0.002 10.7733 39.6415
opcount 0.0092 0.0001 0.001 0.0089 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · ethrex
nobs 275
R² 0.9924
coef (ms) 0.006953
p-value 1.00e-03
95% CI [0.006884, 0.007024]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 275 RMSE: 14.45
Df Residuals: 273 MAE: 11.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.7267 2.7471 0.001 45.7096 56.1721
opcount 0.0070 0.0000 0.001 0.0069 0.0070
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · geth
nobs 242
R² 0.9134
coef (ms) 0.01097
p-value 1.00e-03
95% CI [0.01049, 0.01144]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.913
Model: NNLS Adj. R-squared: 0.913
No. Observations: 242 RMSE: 80.30
Df Residuals: 240 MAE: 66.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 413.6116 20.8058 0.001 373.8620 455.3518
opcount 0.0110 0.0002 0.001 0.0105 0.0114
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 198
R² 0.7568
coef (ms) 0.004695
p-value 1.00e-03
95% CI [0.004358, 0.005121]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.756
No. Observations: 198 RMSE: 63.27
Df Residuals: 196 MAE: 42.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 83.2097 12.7755 0.001 55.3784 105.8133
opcount 0.0047 0.0002 0.001 0.0044 0.0051
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 308
R² 0.9533
coef (ms) 0.001059
p-value 1.00e-03
95% CI [0.001034, 0.001082]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.953
No. Observations: 308 RMSE: 5.57
Df Residuals: 306 MAE: 4.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.6090 0.9997 0.001 40.8305 44.6327
opcount 0.0011 0.0000 0.001 0.0010 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 407
R² 0.8818
coef (ms) 0.01495
p-value 1.00e-03
95% CI [0.01442, 0.01549]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 407 RMSE: 130.11
Df Residuals: 405 MAE: 115.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 508.1339 20.5158 0.001 468.9244 547.6989
opcount 0.0149 0.0003 0.001 0.0144 0.0155
==============================================================================
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 165
R² 0.9757
coef (ms) 0.008584
p-value 1.00e-03
95% CI [0.008356, 0.008764]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 165 RMSE: 32.23
Df Residuals: 163 MAE: 24.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1243 7.2856 0.101 0.0000 25.8495
opcount 0.0086 0.0001 0.001 0.0084 0.0088
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9619
coef (ms) 0.00198
p-value 1.00e-03
95% CI [0.001933, 0.002024]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 275 RMSE: 9.37
Df Residuals: 273 MAE: 7.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.8343 1.6700 0.001 25.6064 32.0076
opcount 0.0020 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.8605
coef (ms) 0.02229
p-value 1.00e-03
95% CI [0.02108, 0.02349]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 242 RMSE: 213.34
Df Residuals: 240 MAE: 181.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 702.8214 54.2182 0.001 600.4760 814.6642
opcount 0.0223 0.0006 0.001 0.0211 0.0235
==============================================================================
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 198
R² 0.7625
coef (ms) 0.004032
p-value 1.00e-03
95% CI [0.003745, 0.00435]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.761
No. Observations: 198 RMSE: 53.49
Df Residuals: 196 MAE: 39.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.9405 10.4568 0.001 68.8496 108.5459
opcount 0.0040 0.0002 0.001 0.0037 0.0043
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 308
R² 0.9088
coef (ms) 0.000807
p-value 1.00e-03
95% CI [0.0007795, 0.0008358]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.909
Model: NNLS Adj. R-squared: 0.909
No. Observations: 308 RMSE: 6.08
Df Residuals: 306 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.8391 1.0735 0.001 42.8163 46.8683
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · besu
nobs 407
R² 0.8925
coef (ms) 0.02704
p-value 1.00e-03
95% CI [0.02617, 0.02792]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.892
Model: NNLS Adj. R-squared: 0.892
No. Observations: 407 RMSE: 191.14
Df Residuals: 405 MAE: 159.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 551.8476 28.1958 0.001 495.1595 605.9349
opcount 0.0270 0.0005 0.001 0.0262 0.0279
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 165
R² 0.8966
coef (ms) 0.04939
p-value 1.00e-03
95% CI [0.04676, 0.05145]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.896
No. Observations: 165 RMSE: 341.61
Df Residuals: 163 MAE: 293.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 829.9003 91.3301 0.001 670.5514 1037.1305
opcount 0.0494 0.0012 0.001 0.0468 0.0514
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.9936
coef (ms) 0.007467
p-value 1.00e-03
95% CI [0.007405, 0.007528]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 12.19
Df Residuals: 273 MAE: 9.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.5503 2.1917 0.001 43.4216 51.8402
opcount 0.0075 0.0000 0.001 0.0074 0.0075
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 242
R² 0.8572
coef (ms) 0.02332
p-value 1.00e-03
95% CI [0.02199, 0.02463]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.857
Model: NNLS Adj. R-squared: 0.857
No. Observations: 242 RMSE: 193.85
Df Residuals: 240 MAE: 162.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 668.5287 47.1965 0.001 575.0338 765.0432
opcount 0.0233 0.0006 0.001 0.0220 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 198
R² 0.5846
coef (ms) 0.01512
p-value 1.00e-03
95% CI [0.0132, 0.01705]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.585
Model: NNLS Adj. R-squared: 0.582
No. Observations: 198 RMSE: 259.56
Df Residuals: 196 MAE: 200.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 169.4004 55.3222 0.002 61.5528 274.4307
opcount 0.0151 0.0010 0.001 0.0132 0.0171
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 308
R² 0.9798
coef (ms) 0.004069
p-value 1.00e-03
95% CI [0.004002, 0.004148]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 308 RMSE: 11.91
Df Residuals: 306 MAE: 9.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.3409 2.2367 0.001 90.4888 99.6775
opcount 0.0041 0.0000 0.001 0.0040 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8818
coef (ms) 0.01495
p-value 1.00e-03
95% CI [0.01442, 0.01549]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.882
Model: NNLS Adj. R-squared: 0.882
No. Observations: 407 RMSE: 130.11
Df Residuals: 405 MAE: 115.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 508.1339 20.5158 0.001 468.9244 547.6989
opcount 0.0149 0.0003 0.001 0.0144 0.0155
==============================================================================
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 165
R² 0.9757
coef (ms) 0.008584
p-value 1.00e-03
95% CI [0.008356, 0.008764]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 165 RMSE: 32.23
Df Residuals: 163 MAE: 24.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1243 7.2856 0.101 0.0000 25.8495
opcount 0.0086 0.0001 0.001 0.0084 0.0088
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9619
coef (ms) 0.00198
p-value 1.00e-03
95% CI [0.001933, 0.002024]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.962
Model: NNLS Adj. R-squared: 0.962
No. Observations: 275 RMSE: 9.37
Df Residuals: 273 MAE: 7.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.8343 1.6700 0.001 25.6064 32.0076
opcount 0.0020 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.8605
coef (ms) 0.02229
p-value 1.00e-03
95% CI [0.02108, 0.02349]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 242 RMSE: 213.34
Df Residuals: 240 MAE: 181.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 702.8214 54.2182 0.001 600.4760 814.6642
opcount 0.0223 0.0006 0.001 0.0211 0.0235
==============================================================================
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 198
R² 0.7625
coef (ms) 0.004032
p-value 1.00e-03
95% CI [0.003745, 0.00435]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.761
No. Observations: 198 RMSE: 53.49
Df Residuals: 196 MAE: 39.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 89.9405 10.4568 0.001 68.8496 108.5459
opcount 0.0040 0.0002 0.001 0.0037 0.0043
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 308
R² 0.9088
coef (ms) 0.000807
p-value 1.00e-03
95% CI [0.0007795, 0.0008358]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.909
Model: NNLS Adj. R-squared: 0.909
No. Observations: 308 RMSE: 6.08
Df Residuals: 306 MAE: 4.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.8391 1.0735 0.001 42.8163 46.8683
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · besu
nobs 407
R² 0.7053
coef (ms) 0.000646
p-value 1.00e-03
95% CI [0.0006053, 0.000688]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.705
Model: NNLS Adj. R-squared: 0.705
No. Observations: 407 RMSE: 216.19
Df Residuals: 405 MAE: 170.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 753.0487 32.8406 0.001 691.7287 817.0032
opcount 0.0006 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 · erigon
nobs 165
R² 0.9055
coef (ms) 0.0002652
p-value 1.00e-03
95% CI [0.0002522, 0.0002794]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.906
Model: NNLS Adj. R-squared: 0.905
No. Observations: 165 RMSE: 44.36
Df Residuals: 163 MAE: 33.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.3717 10.0806 0.001 27.2382 68.0644
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · ethrex
nobs 275
R² 0.9288
coef (ms) 9.579e-05
p-value 1.00e-03
95% CI [9.289e-05, 9.924e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.929
Model: NNLS Adj. R-squared: 0.929
No. Observations: 275 RMSE: 13.73
Df Residuals: 273 MAE: 10.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.1875 2.6411 0.001 37.6523 48.0239
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · geth
nobs 242
R² 0.9021
coef (ms) 0.0001549
p-value 1.00e-03
95% CI [0.0001481, 0.0001609]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.902
Model: NNLS Adj. R-squared: 0.902
No. Observations: 242 RMSE: 26.41
Df Residuals: 240 MAE: 19.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.6244 4.8792 0.001 30.8518 49.1236
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · nethermind
nobs 198
R² 0.6653
coef (ms) 0.0003837
p-value 1.00e-03
95% CI [0.0003509, 0.0004181]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.665
Model: NNLS Adj. R-squared: 0.664
No. Observations: 198 RMSE: 140.90
Df Residuals: 196 MAE: 110.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 194.8322 26.2173 0.001 142.5126 243.6594
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 308
R² 0.8986
coef (ms) 5.566e-05
p-value 1.00e-03
95% CI [5.372e-05, 5.748e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.898
No. Observations: 308 RMSE: 9.68
Df Residuals: 306 MAE: 7.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.7495 1.5715 0.001 20.7630 26.8601
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 407
R² 0.2513
coef (ms) 0.0005394
p-value 1.00e-03
95% CI [0.0004547, 0.0006316]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.251
Model: NNLS Adj. R-squared: 0.250
No. Observations: 407 RMSE: 239.02
Df Residuals: 405 MAE: 216.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 397.0774 35.9759 0.001 325.8192 468.0111
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 165
R² 0.8972
coef (ms) 7.383e-05
p-value 1.00e-03
95% CI [7.02e-05, 7.722e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 165 RMSE: 6.42
Df Residuals: 163 MAE: 5.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.1785 1.4912 0.001 19.3105 24.9417
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.7372
coef (ms) 3.665e-05
p-value 1.00e-03
95% CI [3.397e-05, 3.933e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.737
Model: NNLS Adj. R-squared: 0.736
No. Observations: 275 RMSE: 5.62
Df Residuals: 273 MAE: 4.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1373 1.1014 0.001 8.0179 12.2696
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.9295
coef (ms) 0.00035
p-value 1.00e-03
95% CI [0.0003374, 0.0003629]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.929
No. Observations: 242 RMSE: 24.74
Df Residuals: 240 MAE: 19.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.2595 4.5781 0.001 13.8762 32.6673
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 198
R² 0.7954
coef (ms) 0.00035
p-value 1.00e-03
95% CI [0.0003271, 0.0003734]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.794
No. Observations: 198 RMSE: 45.58
Df Residuals: 196 MAE: 32.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 116.0580 8.7899 0.001 98.7430 133.2309
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 308
R² 0.6253
coef (ms) 2.103e-05
p-value 1.00e-03
95% CI [1.943e-05, 2.275e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.625
Model: NNLS Adj. R-squared: 0.624
No. Observations: 308 RMSE: 4.18
Df Residuals: 306 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2897 0.6922 0.001 7.9589 10.6943
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 407
R² 0.3122
coef (ms) 0.001889
p-value 1.00e-03
95% CI [0.001642, 0.002143]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.312
Model: NNLS Adj. R-squared: 0.311
No. Observations: 407 RMSE: 277.01
Df Residuals: 405 MAE: 250.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 468.4999 39.2096 0.001 393.3325 541.9307
opcount 0.0019 0.0001 0.001 0.0016 0.0021
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 165
R² 0.8803
coef (ms) 0.0003034
p-value 1.00e-03
95% CI [0.0002857, 0.0003224]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 165 RMSE: 11.05
Df Residuals: 163 MAE: 8.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.9664 2.8340 0.001 35.3152 46.2916
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 275
R² 0.839
coef (ms) 0.0002311
p-value 1.00e-03
95% CI [0.0002201, 0.0002425]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.839
Model: NNLS Adj. R-squared: 0.838
No. Observations: 275 RMSE: 10.00
Df Residuals: 273 MAE: 7.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.7701 1.7058 0.001 16.2215 23.1360
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · geth
nobs 242
R² 0.8799
coef (ms) 0.000763
p-value 1.00e-03
95% CI [0.0007271, 0.0007997]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.879
No. Observations: 242 RMSE: 27.85
Df Residuals: 240 MAE: 21.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.0550 5.1617 0.001 34.0770 54.1507
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · nethermind
nobs 198
R² 0.8211
coef (ms) 0.001338
p-value 1.00e-03
95% CI [0.001249, 0.001423]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.820
No. Observations: 198 RMSE: 61.70
Df Residuals: 196 MAE: 49.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 183.0073 13.5919 0.001 157.3038 209.2858
opcount 0.0013 0.0000 0.001 0.0012 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 308
R² 0.7928
coef (ms) 0.0001061
p-value 1.00e-03
95% CI [0.0001001, 0.0001128]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.792
No. Observations: 308 RMSE: 5.36
Df Residuals: 306 MAE: 4.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.8665 0.8961 0.001 10.1221 13.5863
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 407
R² 0.2513
coef (ms) 0.0005394
p-value 1.00e-03
95% CI [0.0004547, 0.0006316]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.251
Model: NNLS Adj. R-squared: 0.250
No. Observations: 407 RMSE: 239.02
Df Residuals: 405 MAE: 216.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 397.0774 35.9759 0.001 325.8192 468.0111
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 165
R² 0.8972
coef (ms) 7.383e-05
p-value 1.00e-03
95% CI [7.02e-05, 7.722e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.897
Model: NNLS Adj. R-squared: 0.897
No. Observations: 165 RMSE: 6.42
Df Residuals: 163 MAE: 5.26
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.1785 1.4912 0.001 19.3105 24.9417
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.7372
coef (ms) 3.665e-05
p-value 1.00e-03
95% CI [3.397e-05, 3.933e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.737
Model: NNLS Adj. R-squared: 0.736
No. Observations: 275 RMSE: 5.62
Df Residuals: 273 MAE: 4.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.1373 1.1014 0.001 8.0179 12.2696
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.9295
coef (ms) 0.00035
p-value 1.00e-03
95% CI [0.0003374, 0.0003629]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.930
Model: NNLS Adj. R-squared: 0.929
No. Observations: 242 RMSE: 24.74
Df Residuals: 240 MAE: 19.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.2595 4.5781 0.001 13.8762 32.6673
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 198
R² 0.7954
coef (ms) 0.00035
p-value 1.00e-03
95% CI [0.0003271, 0.0003734]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.794
No. Observations: 198 RMSE: 45.58
Df Residuals: 196 MAE: 32.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 116.0580 8.7899 0.001 98.7430 133.2309
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 308
R² 0.6253
coef (ms) 2.103e-05
p-value 1.00e-03
95% CI [1.943e-05, 2.275e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.625
Model: NNLS Adj. R-squared: 0.624
No. Observations: 308 RMSE: 4.18
Df Residuals: 306 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2897 0.6922 0.001 7.9589 10.6943
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 407
R² 0.8883
coef (ms) 0.0134
p-value 1.00e-03
95% CI [0.01296, 0.01381]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.888
No. Observations: 407 RMSE: 113.52
Df Residuals: 405 MAE: 103.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 489.4558 17.3268 0.001 456.9824 523.4876
opcount 0.0134 0.0002 0.001 0.0130 0.0138
==============================================================================
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 165
R² 0.9704
coef (ms) 0.007684
p-value 1.00e-03
95% CI [0.007484, 0.0078]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 165 RMSE: 32.09
Df Residuals: 163 MAE: 25.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.1784 5.2431 0.281 0.0000 17.4410
opcount 0.0077 0.0001 0.001 0.0075 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9582
coef (ms) 0.001929
p-value 1.00e-03
95% CI [0.001883, 0.001976]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 275 RMSE: 9.63
Df Residuals: 273 MAE: 6.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.1317 1.9456 0.001 23.5527 31.1457
opcount 0.0019 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.8557
coef (ms) 0.02161
p-value 1.00e-03
95% CI [0.02036, 0.02279]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.855
No. Observations: 242 RMSE: 212.09
Df Residuals: 240 MAE: 180.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 703.3842 52.9660 0.001 603.3560 815.4930
opcount 0.0216 0.0006 0.001 0.0204 0.0228
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 198
R² 0.7717
coef (ms) 0.003689
p-value 1.00e-03
95% CI [0.003394, 0.003968]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.771
No. Observations: 198 RMSE: 47.95
Df Residuals: 196 MAE: 36.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 93.0097 10.7722 0.001 71.5927 114.0617
opcount 0.0037 0.0001 0.001 0.0034 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 308
R² 0.9139
coef (ms) 0.0007506
p-value 1.00e-03
95% CI [0.0007235, 0.0007794]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 308 RMSE: 5.50
Df Residuals: 306 MAE: 4.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.1548 1.0575 0.001 43.1454 47.3659
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · besu
nobs 407
R² 0.8867
coef (ms) 0.02525
p-value 1.00e-03
95% CI [0.02443, 0.02598]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.887
Model: NNLS Adj. R-squared: 0.886
No. Observations: 407 RMSE: 187.83
Df Residuals: 405 MAE: 158.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 529.8201 26.4318 0.001 482.0419 582.8437
opcount 0.0253 0.0004 0.001 0.0244 0.0260
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 165
R² 0.934
coef (ms) 0.02432
p-value 1.00e-03
95% CI [0.02336, 0.02517]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.934
Model: NNLS Adj. R-squared: 0.934
No. Observations: 165 RMSE: 134.55
Df Residuals: 163 MAE: 115.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 386.7900 35.5677 0.001 321.4396 459.6211
opcount 0.0243 0.0005 0.001 0.0234 0.0252
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.9934
coef (ms) 0.007372
p-value 1.00e-03
95% CI [0.007301, 0.007442]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 275 RMSE: 12.49
Df Residuals: 273 MAE: 10.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.7530 2.2889 0.001 40.3754 49.2968
opcount 0.0074 0.0000 0.001 0.0073 0.0074
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · geth
nobs 242
R² 0.8564
coef (ms) 0.023
p-value 1.00e-03
95% CI [0.0217, 0.02427]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.856
No. Observations: 242 RMSE: 196.00
Df Residuals: 240 MAE: 165.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 666.7258 48.9385 0.001 572.7309 762.6256
opcount 0.0230 0.0007 0.001 0.0217 0.0243
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 198
R² 0.5685
coef (ms) 0.01312
p-value 1.00e-03
95% CI [0.01146, 0.01467]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.568
Model: NNLS Adj. R-squared: 0.566
No. Observations: 198 RMSE: 237.83
Df Residuals: 196 MAE: 176.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 189.2741 48.9637 0.001 90.1200 284.4526
opcount 0.0131 0.0008 0.001 0.0115 0.0147
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 308
R² 0.9776
coef (ms) 0.003902
p-value 1.00e-03
95% CI [0.003835, 0.00397]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.977
No. Observations: 308 RMSE: 12.30
Df Residuals: 306 MAE: 9.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.1468 2.1918 0.001 96.0304 104.7047
opcount 0.0039 0.0000 0.001 0.0038 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8883
coef (ms) 0.0134
p-value 1.00e-03
95% CI [0.01296, 0.01381]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.888
Model: NNLS Adj. R-squared: 0.888
No. Observations: 407 RMSE: 113.52
Df Residuals: 405 MAE: 103.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 489.4558 17.3268 0.001 456.9824 523.4876
opcount 0.0134 0.0002 0.001 0.0130 0.0138
==============================================================================
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 165
R² 0.9704
coef (ms) 0.007684
p-value 1.00e-03
95% CI [0.007484, 0.0078]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 165 RMSE: 32.09
Df Residuals: 163 MAE: 25.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 4.1784 5.2431 0.281 0.0000 17.4410
opcount 0.0077 0.0001 0.001 0.0075 0.0078
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9582
coef (ms) 0.001929
p-value 1.00e-03
95% CI [0.001883, 0.001976]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 275 RMSE: 9.63
Df Residuals: 273 MAE: 6.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.1317 1.9456 0.001 23.5527 31.1457
opcount 0.0019 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.8557
coef (ms) 0.02161
p-value 1.00e-03
95% CI [0.02036, 0.02279]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.855
No. Observations: 242 RMSE: 212.09
Df Residuals: 240 MAE: 180.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 703.3842 52.9660 0.001 603.3560 815.4930
opcount 0.0216 0.0006 0.001 0.0204 0.0228
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 198
R² 0.7717
coef (ms) 0.003689
p-value 1.00e-03
95% CI [0.003394, 0.003968]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.771
No. Observations: 198 RMSE: 47.95
Df Residuals: 196 MAE: 36.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 93.0097 10.7722 0.001 71.5927 114.0617
opcount 0.0037 0.0001 0.001 0.0034 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 308
R² 0.9139
coef (ms) 0.0007506
p-value 1.00e-03
95% CI [0.0007235, 0.0007794]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.914
No. Observations: 308 RMSE: 5.50
Df Residuals: 306 MAE: 4.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.1548 1.0575 0.001 43.1454 47.3659
opcount 0.0008 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · besu
nobs 407
R² 0.2843
coef (ms) 0.0002179
p-value 1.00e-03
95% CI [0.0001842, 0.0002524]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.284
Model: NNLS Adj. R-squared: 0.283
No. Observations: 407 RMSE: 202.19
Df Residuals: 405 MAE: 170.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 456.4549 32.9455 0.001 393.9481 521.5914
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · erigon
nobs 165
R² 0.9236
coef (ms) 0.0002874
p-value 1.00e-03
95% CI [0.0002753, 0.0002987]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.923
No. Observations: 165 RMSE: 48.35
Df Residuals: 163 MAE: 37.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.9997 10.0486 0.001 17.0114 56.9577
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · ethrex
nobs 275
R² 0.7128
coef (ms) 1.518e-05
p-value 1.00e-03
95% CI [1.399e-05, 1.642e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.713
Model: NNLS Adj. R-squared: 0.712
No. Observations: 275 RMSE: 5.63
Df Residuals: 273 MAE: 4.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.1973 1.0440 0.001 6.0702 10.3114
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · geth
nobs 242
R² 0.8355
coef (ms) 3.857e-05
p-value 1.00e-03
95% CI [3.674e-05, 4.05e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.836
Model: NNLS Adj. R-squared: 0.835
No. Observations: 242 RMSE: 10.01
Df Residuals: 240 MAE: 7.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.7179 1.7110 0.001 18.4576 25.0475
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 198
R² 0.5805
coef (ms) 0.000241
p-value 1.00e-03
95% CI [0.0002115, 0.0002702]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.580
Model: NNLS Adj. R-squared: 0.578
No. Observations: 198 RMSE: 119.81
Df Residuals: 196 MAE: 95.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 160.2341 24.9885 0.001 110.8039 207.7056
opcount 0.0002 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · reth
nobs 308
R² 0.5157
coef (ms) 1.392e-05
p-value 1.00e-03
95% CI [1.251e-05, 1.551e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.516
Model: NNLS Adj. R-squared: 0.514
No. Observations: 308 RMSE: 7.89
Df Residuals: 306 MAE: 5.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9686 1.3051 0.001 6.2930 11.3903
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 407
R² 0.8861
coef (ms) 0.01316
p-value 1.00e-03
95% CI [0.01269, 0.01363]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 407 RMSE: 112.81
Df Residuals: 405 MAE: 102.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 505.2095 18.4140 0.001 468.9856 541.6025
opcount 0.0132 0.0002 0.001 0.0127 0.0136
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 165
R² 0.972
coef (ms) 0.007783
p-value 1.00e-03
95% CI [0.007586, 0.007965]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 165 RMSE: 31.60
Df Residuals: 163 MAE: 23.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5426 7.0874 0.069 0.0000 25.1774
opcount 0.0078 0.0001 0.001 0.0076 0.0080
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.967
coef (ms) 0.001919
p-value 1.00e-03
95% CI [0.001881, 0.001957]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 275 RMSE: 8.48
Df Residuals: 273 MAE: 6.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.5177 1.5261 0.001 23.7053 29.3772
opcount 0.0019 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.8636
coef (ms) 0.02157
p-value 1.00e-03
95% CI [0.02037, 0.02269]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 242 RMSE: 204.87
Df Residuals: 240 MAE: 173.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 709.9441 51.1959 0.001 615.2722 810.6566
opcount 0.0216 0.0006 0.001 0.0204 0.0227
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 198
R² 0.7349
coef (ms) 0.003989
p-value 1.00e-03
95% CI [0.003657, 0.004377]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.733
No. Observations: 198 RMSE: 57.27
Df Residuals: 196 MAE: 37.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.5315 11.7630 0.001 47.4688 92.9353
opcount 0.0040 0.0002 0.001 0.0037 0.0044
==============================================================================
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 308
R² 0.9042
coef (ms) 0.0007317
p-value 1.00e-03
95% CI [0.0007059, 0.000761]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 308 RMSE: 5.69
Df Residuals: 306 MAE: 4.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9741 1.0332 0.001 43.8949 47.9768
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · besu
nobs 407
R² 0.8907
coef (ms) 0.02526
p-value 1.00e-03
95% CI [0.02452, 0.02603]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.890
No. Observations: 407 RMSE: 184.09
Df Residuals: 405 MAE: 155.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 527.0442 25.0505 0.001 479.1042 579.3715
opcount 0.0253 0.0004 0.001 0.0245 0.0260
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 165
R² 0.8956
coef (ms) 0.04874
p-value 1.00e-03
95% CI [0.04633, 0.0509]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.895
No. Observations: 165 RMSE: 346.26
Df Residuals: 163 MAE: 297.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 843.3669 93.8758 0.001 672.4548 1022.1093
opcount 0.0487 0.0012 0.001 0.0463 0.0509
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.9926
coef (ms) 0.007451
p-value 1.00e-03
95% CI [0.007383, 0.007524]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 275 RMSE: 13.39
Df Residuals: 273 MAE: 10.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.8269 2.3069 0.001 38.3522 47.2251
opcount 0.0075 0.0000 0.001 0.0074 0.0075
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · geth
nobs 242
R² 0.8625
coef (ms) 0.02316
p-value 1.00e-03
95% CI [0.02186, 0.02447]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.862
No. Observations: 242 RMSE: 192.33
Df Residuals: 240 MAE: 161.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 662.5904 49.0928 0.001 569.5292 760.1845
opcount 0.0232 0.0007 0.001 0.0219 0.0245
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 198
R² 0.5873
coef (ms) 0.0141
p-value 1.00e-03
95% CI [0.01225, 0.01585]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.587
Model: NNLS Adj. R-squared: 0.585
No. Observations: 198 RMSE: 245.96
Df Residuals: 196 MAE: 177.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.2518 51.2060 0.024 3.3808 206.9234
opcount 0.0141 0.0009 0.001 0.0122 0.0159
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 308
R² 0.974
coef (ms) 0.003992
p-value 1.00e-03
95% CI [0.003916, 0.00408]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 308 RMSE: 13.58
Df Residuals: 306 MAE: 10.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 94.6024 2.4310 0.001 89.8278 99.3326
opcount 0.0040 0.0000 0.001 0.0039 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8861
coef (ms) 0.01316
p-value 1.00e-03
95% CI [0.01269, 0.01363]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 407 RMSE: 112.81
Df Residuals: 405 MAE: 102.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 505.2095 18.4140 0.001 468.9856 541.6025
opcount 0.0132 0.0002 0.001 0.0127 0.0136
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 165
R² 0.972
coef (ms) 0.007783
p-value 1.00e-03
95% CI [0.007586, 0.007965]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 165 RMSE: 31.60
Df Residuals: 163 MAE: 23.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5426 7.0874 0.069 0.0000 25.1774
opcount 0.0078 0.0001 0.001 0.0076 0.0080
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.967
coef (ms) 0.001919
p-value 1.00e-03
95% CI [0.001881, 0.001957]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 275 RMSE: 8.48
Df Residuals: 273 MAE: 6.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.5177 1.5261 0.001 23.7053 29.3772
opcount 0.0019 0.0000 0.001 0.0019 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.8636
coef (ms) 0.02157
p-value 1.00e-03
95% CI [0.02037, 0.02269]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 242 RMSE: 204.87
Df Residuals: 240 MAE: 173.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 709.9441 51.1959 0.001 615.2722 810.6566
opcount 0.0216 0.0006 0.001 0.0204 0.0227
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 198
R² 0.7349
coef (ms) 0.003989
p-value 1.00e-03
95% CI [0.003657, 0.004377]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.733
No. Observations: 198 RMSE: 57.27
Df Residuals: 196 MAE: 37.43
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.5315 11.7630 0.001 47.4688 92.9353
opcount 0.0040 0.0002 0.001 0.0037 0.0044
==============================================================================
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 308
R² 0.9042
coef (ms) 0.0007317
p-value 1.00e-03
95% CI [0.0007059, 0.000761]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 308 RMSE: 5.69
Df Residuals: 306 MAE: 4.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9741 1.0332 0.001 43.8949 47.9768
opcount 0.0007 0.0000 0.001 0.0007 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · besu
nobs 407
R² 0.2685
coef (ms) 0.0002132
p-value 1.00e-03
95% CI [0.0001764, 0.0002481]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.268
Model: NNLS Adj. R-squared: 0.267
No. Observations: 407 RMSE: 205.79
Df Residuals: 405 MAE: 172.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 459.1789 34.4916 0.001 393.0266 528.5346
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 165
R² 0.8539
coef (ms) 4.487e-05
p-value 1.00e-03
95% CI [4.164e-05, 4.851e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.854
Model: NNLS Adj. R-squared: 0.853
No. Observations: 165 RMSE: 10.85
Df Residuals: 163 MAE: 7.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9603 2.7897 0.001 17.3710 28.0948
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 275
R² 0.776
coef (ms) 1.639e-05
p-value 1.00e-03
95% CI [1.543e-05, 1.744e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.776
Model: NNLS Adj. R-squared: 0.775
No. Observations: 275 RMSE: 5.15
Df Residuals: 273 MAE: 3.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.3746 0.8817 0.001 5.6170 9.0429
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · geth
nobs 242
R² 0.7461
coef (ms) 2.818e-05
p-value 1.00e-03
95% CI [2.593e-05, 3.034e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.745
No. Observations: 242 RMSE: 9.61
Df Residuals: 240 MAE: 7.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.7785 2.0215 0.001 20.1220 28.1398
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 198
R² 0.7351
coef (ms) 0.0001623
p-value 1.00e-03
95% CI [0.0001502, 0.0001758]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.734
No. Observations: 198 RMSE: 56.97
Df Residuals: 196 MAE: 43.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 133.4584 11.2941 0.001 110.3322 153.6729
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 308
R² 0.4547
coef (ms) 9.918e-06
p-value 1.00e-03
95% CI [8.568e-06, 1.118e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.455
Model: NNLS Adj. R-squared: 0.453
No. Observations: 308 RMSE: 6.35
Df Residuals: 306 MAE: 4.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.9734 1.1370 0.001 3.7955 8.2800
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 407
R² 0.8384
coef (ms) 0.01545
p-value 1.00e-03
95% CI [0.01478, 0.01616]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.838
Model: NNLS Adj. R-squared: 0.838
No. Observations: 407 RMSE: 161.26
Df Residuals: 405 MAE: 138.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 605.6094 26.3790 0.001 553.1181 655.5938
opcount 0.0155 0.0004 0.001 0.0148 0.0162
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 165
R² 0.9696
coef (ms) 0.009322
p-value 1.00e-03
95% CI [0.00907, 0.009598]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.969
No. Observations: 165 RMSE: 39.23
Df Residuals: 163 MAE: 30.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.0083 9.0203 0.002 6.2949 42.1864
opcount 0.0093 0.0001 0.001 0.0091 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · ethrex
nobs 275
R² 0.9947
coef (ms) 0.006951
p-value 1.00e-03
95% CI [0.006895, 0.007011]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 275 RMSE: 12.03
Df Residuals: 273 MAE: 9.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.0845 2.1422 0.001 43.7322 52.3182
opcount 0.0070 0.0000 0.001 0.0069 0.0070
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · geth
nobs 242
R² 0.9146
coef (ms) 0.01105
p-value 1.00e-03
95% CI [0.01057, 0.01153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.914
No. Observations: 242 RMSE: 80.28
Df Residuals: 240 MAE: 66.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 408.7440 20.9564 0.001 370.1896 449.6750
opcount 0.0110 0.0002 0.001 0.0106 0.0115
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 198
R² 0.8295
coef (ms) 0.004283
p-value 1.00e-03
95% CI [0.004017, 0.004567]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.829
No. Observations: 198 RMSE: 46.16
Df Residuals: 196 MAE: 36.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 101.5895 9.5007 0.001 81.7048 119.7255
opcount 0.0043 0.0001 0.001 0.0040 0.0046
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 308
R² 0.9464
coef (ms) 0.001074
p-value 1.00e-03
95% CI [0.001043, 0.001105]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.946
Model: NNLS Adj. R-squared: 0.946
No. Observations: 308 RMSE: 6.08
Df Residuals: 306 MAE: 4.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 43.2840 1.1258 0.001 41.1461 45.5921
opcount 0.0011 0.0000 0.001 0.0010 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 407
R² 0.8702
coef (ms) 0.01629
p-value 1.00e-03
95% CI [0.01573, 0.01689]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 407 RMSE: 149.53
Df Residuals: 405 MAE: 134.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 522.7044 22.5310 0.001 477.2752 566.1857
opcount 0.0163 0.0003 0.001 0.0157 0.0169
==============================================================================
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 165
R² 0.9815
coef (ms) 0.01079
p-value 1.00e-03
95% CI [0.01064, 0.01087]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 165 RMSE: 35.45
Df Residuals: 163 MAE: 25.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.7149 1.000 0.0000 9.6801
opcount 0.0108 0.0001 0.001 0.0106 0.0109
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 275
R² 0.9716
coef (ms) 0.001999
p-value 1.00e-03
95% CI [0.001958, 0.002041]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 275 RMSE: 8.12
Df Residuals: 273 MAE: 6.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2171 1.5917 0.001 24.1450 30.3255
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 242
R² 0.8688
coef (ms) 0.02267
p-value 1.00e-03
95% CI [0.02153, 0.02379]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.868
No. Observations: 242 RMSE: 209.41
Df Residuals: 240 MAE: 178.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 708.2150 49.6284 0.001 613.1038 809.0809
opcount 0.0227 0.0006 0.001 0.0215 0.0238
==============================================================================
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 198
R² 0.7802
coef (ms) 0.00435
p-value 1.00e-03
95% CI [0.004051, 0.004651]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.779
No. Observations: 198 RMSE: 54.88
Df Residuals: 196 MAE: 37.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.1584 9.9486 0.001 54.0183 92.1951
opcount 0.0043 0.0002 0.001 0.0041 0.0047
==============================================================================
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 308
R² 0.9108
coef (ms) 0.0007991
p-value 1.00e-03
95% CI [0.0007705, 0.0008289]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 308 RMSE: 5.94
Df Residuals: 306 MAE: 4.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9975 1.0701 0.001 44.0020 48.1579
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · besu
nobs 407
R² 0.8888
coef (ms) 0.02711
p-value 1.00e-03
95% CI [0.02617, 0.02805]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.889
Model: NNLS Adj. R-squared: 0.889
No. Observations: 407 RMSE: 195.37
Df Residuals: 405 MAE: 165.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 595.4554 28.8594 0.001 539.9387 654.4796
opcount 0.0271 0.0005 0.001 0.0262 0.0281
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 165
R² 0.8949
coef (ms) 0.04947
p-value 1.00e-03
95% CI [0.04688, 0.05175]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.894
No. Observations: 165 RMSE: 345.28
Df Residuals: 163 MAE: 296.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 835.9471 91.0931 0.001 663.9999 1019.6971
opcount 0.0495 0.0012 0.001 0.0469 0.0518
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 275
R² 0.994
coef (ms) 0.007604
p-value 1.00e-03
95% CI [0.007531, 0.007675]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 275 RMSE: 12.04
Df Residuals: 273 MAE: 9.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.3859 2.2615 0.001 33.9322 42.7459
opcount 0.0076 0.0000 0.001 0.0075 0.0077
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 242
R² 0.8632
coef (ms) 0.02338
p-value 1.00e-03
95% CI [0.02216, 0.02469]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.863
No. Observations: 242 RMSE: 189.63
Df Residuals: 240 MAE: 159.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 663.4469 47.4287 0.001 570.6860 752.5965
opcount 0.0234 0.0006 0.001 0.0222 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 198
R² 0.6279
coef (ms) 0.0134
p-value 1.00e-03
95% CI [0.01185, 0.01495]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.628
Model: NNLS Adj. R-squared: 0.626
No. Observations: 198 RMSE: 210.07
Df Residuals: 196 MAE: 148.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 222.6325 47.6875 0.001 131.1076 315.1173
opcount 0.0134 0.0008 0.001 0.0119 0.0149
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 308
R² 0.9756
coef (ms) 0.004042
p-value 1.00e-03
95% CI [0.00397, 0.004123]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 308 RMSE: 13.01
Df Residuals: 306 MAE: 10.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 99.1257 2.2809 0.001 94.6667 103.4457
opcount 0.0040 0.0000 0.001 0.0040 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · besu
nobs 407
R² 0.8702
coef (ms) 0.01629
p-value 1.00e-03
95% CI [0.01573, 0.01689]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 407 RMSE: 149.53
Df Residuals: 405 MAE: 134.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 522.7044 22.5310 0.001 477.2752 566.1857
opcount 0.0163 0.0003 0.001 0.0157 0.0169
==============================================================================
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 165
R² 0.9815
coef (ms) 0.01079
p-value 1.00e-03
95% CI [0.01064, 0.01087]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 165 RMSE: 35.45
Df Residuals: 163 MAE: 25.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.7149 1.000 0.0000 9.6801
opcount 0.0108 0.0001 0.001 0.0106 0.0109
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 275
R² 0.9716
coef (ms) 0.001999
p-value 1.00e-03
95% CI [0.001958, 0.002041]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 275 RMSE: 8.12
Df Residuals: 273 MAE: 6.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2171 1.5917 0.001 24.1450 30.3255
opcount 0.0020 0.0000 0.001 0.0020 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 242
R² 0.8688
coef (ms) 0.02267
p-value 1.00e-03
95% CI [0.02153, 0.02379]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.868
No. Observations: 242 RMSE: 209.41
Df Residuals: 240 MAE: 178.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 708.2150 49.6284 0.001 613.1038 809.0809
opcount 0.0227 0.0006 0.001 0.0215 0.0238
==============================================================================
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 198
R² 0.7802
coef (ms) 0.00435
p-value 1.00e-03
95% CI [0.004051, 0.004651]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.780
Model: NNLS Adj. R-squared: 0.779
No. Observations: 198 RMSE: 54.88
Df Residuals: 196 MAE: 37.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.1584 9.9486 0.001 54.0183 92.1951
opcount 0.0043 0.0002 0.001 0.0041 0.0047
==============================================================================
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 308
R² 0.9108
coef (ms) 0.0007991
p-value 1.00e-03
95% CI [0.0007705, 0.0008289]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 308 RMSE: 5.94
Df Residuals: 306 MAE: 4.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9975 1.0701 0.001 44.0020 48.1579
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · besu
nobs 407
R² 0.7085
coef (ms) 0.0004217
p-value 1.00e-03
95% CI [0.0003929, 0.0004471]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.708
Model: NNLS Adj. R-squared: 0.708
No. Observations: 407 RMSE: 140.05
Df Residuals: 405 MAE: 112.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 615.1157 24.0789 0.001 570.2173 664.0191
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · erigon
nobs 165
R² 0.8712
coef (ms) 0.0004846
p-value 1.00e-03
95% CI [0.0004533, 0.0005146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 165 RMSE: 96.46
Df Residuals: 163 MAE: 66.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.1681 23.4699 0.007 10.6831 103.7381
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 275
R² 0.9313
coef (ms) 9.796e-05
p-value 1.00e-03
95% CI [9.49e-05, 0.000101]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.931
No. Observations: 275 RMSE: 13.77
Df Residuals: 273 MAE: 10.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.7751 2.6411 0.001 35.6521 45.8980
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · geth
nobs 242
R² 0.8826
coef (ms) 0.0001813
p-value 1.00e-03
95% CI [0.0001732, 0.0001895]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.882
No. Observations: 242 RMSE: 34.23
Df Residuals: 240 MAE: 26.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 50.4025 6.4374 0.001 37.2129 62.7508
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · nethermind
nobs 198
R² 0.614
coef (ms) 0.0003221
p-value 1.00e-03
95% CI [0.0002871, 0.0003578]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.614
Model: NNLS Adj. R-squared: 0.612
No. Observations: 198 RMSE: 132.22
Df Residuals: 196 MAE: 102.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 248.3137 26.1278 0.001 197.9769 298.8363
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · reth
nobs 308
R² 0.9044
coef (ms) 5.539e-05
p-value 1.00e-03
95% CI [5.343e-05, 5.74e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.904
No. Observations: 308 RMSE: 9.32
Df Residuals: 306 MAE: 7.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.4790 1.7558 0.001 21.9736 28.9019
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================