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 264
R² 0.83
coef (ms) 0.008354
p-value 1.00e-03
95% CI [0.007869, 0.008845]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.829
No. Observations: 264 RMSE: 111.26
Df Residuals: 262 MAE: 100.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 153.9814 20.9556 0.001 111.7232 196.0402
opcount 0.0084 0.0002 0.001 0.0079 0.0088
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · erigon
nobs 99
R² 0.9664
coef (ms) 0.005968
p-value 1.00e-03
95% CI [0.005789, 0.006049]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 99 RMSE: 32.96
Df Residuals: 97 MAE: 26.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 4.1406 1.000 0.0000 14.0140
opcount 0.0060 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 176
R² 0.904
coef (ms) 0.008305
p-value 1.00e-03
95% CI [0.008144, 0.008443]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.903
No. Observations: 176 RMSE: 103.02
Df Residuals: 174 MAE: 90.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0083 0.0001 0.001 0.0081 0.0084
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · geth
nobs 165
R² 0.9739
coef (ms) 0.02443
p-value 1.00e-03
95% CI [0.02377, 0.02509]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 165 RMSE: 117.71
Df Residuals: 163 MAE: 94.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 542.8596 30.5895 0.001 487.2211 605.1060
opcount 0.0244 0.0003 0.001 0.0238 0.0251
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 110
R² 0.8769
coef (ms) 0.002845
p-value 1.00e-03
95% CI [0.002641, 0.003051]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.877
Model: NNLS Adj. R-squared: 0.876
No. Observations: 110 RMSE: 31.38
Df Residuals: 108 MAE: 24.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.5272 8.9891 0.001 39.6067 76.1371
opcount 0.0028 0.0001 0.001 0.0026 0.0031
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 198
R² 0.9517
coef (ms) 0.001315
p-value 1.00e-03
95% CI [0.001273, 0.001359]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.952
Model: NNLS Adj. R-squared: 0.951
No. Observations: 198 RMSE: 8.73
Df Residuals: 196 MAE: 7.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.3532 2.0328 0.001 42.4232 50.2904
opcount 0.0013 0.0000 0.001 0.0013 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · besu
nobs 264
R² 0.9696
coef (ms) 0.01461
p-value 1.00e-03
95% CI [0.01428, 0.01494]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.969
No. Observations: 264 RMSE: 76.15
Df Residuals: 262 MAE: 61.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 415.2878 15.3600 0.001 385.7582 446.0443
opcount 0.0146 0.0002 0.001 0.0143 0.0149
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 99
R² 0.9657
coef (ms) 0.005363
p-value 1.00e-03
95% CI [0.005218, 0.005428]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.965
No. Observations: 99 RMSE: 30.06
Df Residuals: 97 MAE: 23.57
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 2.8969 1.000 0.0000 11.0574
opcount 0.0054 0.0001 0.001 0.0052 0.0054
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · ethrex
nobs 176
R² 0.9841
coef (ms) 0.02405
p-value 1.00e-03
95% CI [0.02388, 0.0242]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.984
Model: NNLS Adj. R-squared: 0.984
No. Observations: 176 RMSE: 98.54
Df Residuals: 174 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 0.0240 0.0001 0.001 0.0239 0.0242
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · geth
nobs 165
R² 0.9664
coef (ms) 0.02378
p-value 1.00e-03
95% CI [0.02304, 0.02441]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.966
Model: NNLS Adj. R-squared: 0.966
No. Observations: 165 RMSE: 130.44
Df Residuals: 163 MAE: 106.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 532.0473 30.7676 0.001 471.1200 597.2237
opcount 0.0238 0.0004 0.001 0.0230 0.0244
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 110
R² 0.9692
coef (ms) 0.007968
p-value 1.00e-03
95% CI [0.007676, 0.008244]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 110 RMSE: 41.81
Df Residuals: 108 MAE: 32.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 97.4772 12.2975 0.001 74.6630 123.5712
opcount 0.0080 0.0001 0.001 0.0077 0.0082
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 198
R² 0.9741
coef (ms) 0.001532
p-value 1.00e-03
95% CI [0.001495, 0.00157]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 198 RMSE: 7.36
Df Residuals: 196 MAE: 6.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.7219 1.7799 0.001 35.2659 42.2971
opcount 0.0015 0.0000 0.001 0.0015 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · besu
nobs 528
R² 0.2602
coef (ms) 9.609e-05
p-value 1.00e-03
95% CI [8.295e-05, 0.0001096]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.260
Model: NNLS Adj. R-squared: 0.259
No. Observations: 528 RMSE: 102.33
Df Residuals: 526 MAE: 81.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 157.2496 14.2094 0.001 128.3835 183.7509
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · erigon
nobs 198
R² 0.8914
coef (ms) 4.854e-05
p-value 1.00e-03
95% CI [4.653e-05, 5.104e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 198 RMSE: 10.70
Df Residuals: 196 MAE: 8.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.6659 2.0551 0.001 15.2982 23.6142
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · ethrex
nobs 352
R² 0.8343
coef (ms) 2.454e-05
p-value 1.00e-03
95% CI [2.334e-05, 2.559e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.834
No. Observations: 352 RMSE: 6.91
Df Residuals: 350 MAE: 5.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.7225 1.1392 0.001 12.6411 17.0670
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 330
R² 0.8243
coef (ms) 4.205e-05
p-value 1.00e-03
95% CI [3.996e-05, 4.411e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.824
Model: NNLS Adj. R-squared: 0.824
No. Observations: 330 RMSE: 12.26
Df Residuals: 328 MAE: 9.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.6935 2.1306 0.001 25.7270 34.0432
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 220
R² 0.7999
coef (ms) 0.000155
p-value 1.00e-03
95% CI [0.0001447, 0.0001646]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.800
Model: NNLS Adj. R-squared: 0.799
No. Observations: 220 RMSE: 48.96
Df Residuals: 218 MAE: 37.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 95.2571 9.8756 0.001 76.8297 113.9875
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 396
R² 0.4492
coef (ms) 7.928e-06
p-value 1.00e-03
95% CI [7.146e-06, 8.749e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.449
Model: NNLS Adj. R-squared: 0.448
No. Observations: 396 RMSE: 5.54
Df Residuals: 394 MAE: 3.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.3914 0.7669 0.001 5.9228 8.8348
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 264
R² 0.8644
coef (ms) 0.009377
p-value 1.00e-03
95% CI [0.008966, 0.009808]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.864
No. Observations: 264 RMSE: 104.94
Df Residuals: 262 MAE: 75.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 521.9773 18.6433 0.001 485.7427 559.0944
opcount 0.0094 0.0002 0.001 0.0090 0.0098
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 99
R² 0.9706
coef (ms) 0.0059
p-value 1.00e-03
95% CI [0.005799, 0.005973]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.970
No. Observations: 99 RMSE: 29.61
Df Residuals: 97 MAE: 23.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 1.3298 1.000 0.0000 4.6103
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 176
R² 0.932
coef (ms) 0.008944
p-value 1.00e-03
95% CI [0.008802, 0.009076]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 176 RMSE: 83.06
Df Residuals: 174 MAE: 71.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0089 0.0001 0.001 0.0088 0.0091
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 165
R² 0.975
coef (ms) 0.0243
p-value 1.00e-03
95% CI [0.02367, 0.02487]
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: 110.01
Df Residuals: 163 MAE: 89.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 539.0004 27.0198 0.001 491.3431 594.0645
opcount 0.0243 0.0003 0.001 0.0237 0.0249
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 110
R² 0.8862
coef (ms) 0.003002
p-value 1.00e-03
95% CI [0.002813, 0.003197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.885
No. Observations: 110 RMSE: 30.41
Df Residuals: 108 MAE: 22.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.5210 8.0123 0.001 32.3434 63.4842
opcount 0.0030 0.0001 0.001 0.0028 0.0032
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 198
R² 0.9528
coef (ms) 0.001341
p-value 1.00e-03
95% CI [0.001299, 0.001383]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.953
Model: NNLS Adj. R-squared: 0.953
No. Observations: 198 RMSE: 8.44
Df Residuals: 196 MAE: 6.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.6615 1.9005 0.001 42.0456 49.3745
opcount 0.0013 0.0000 0.001 0.0013 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · besu
nobs 264
R² 0.9447
coef (ms) 0.01496
p-value 1.00e-03
95% CI [0.0146, 0.01539]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.945
Model: NNLS Adj. R-squared: 0.945
No. Observations: 264 RMSE: 102.28
Df Residuals: 262 MAE: 75.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 719.2788 18.5438 0.001 683.9459 755.0959
opcount 0.0150 0.0002 0.001 0.0146 0.0154
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 99
R² 0.9712
coef (ms) 0.005291
p-value 1.00e-03
95% CI [0.005145, 0.005358]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 99 RMSE: 25.91
Df Residuals: 97 MAE: 19.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.0881 1.000 0.0000 10.3561
opcount 0.0053 0.0001 0.001 0.0051 0.0054
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · ethrex
nobs 176
R² 0.986
coef (ms) 0.02492
p-value 1.00e-03
95% CI [0.02477, 0.02509]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 176 RMSE: 89.79
Df Residuals: 174 MAE: 68.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0249 0.0001 0.001 0.0248 0.0251
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 165
R² 0.9701
coef (ms) 0.02333
p-value 1.00e-03
95% CI [0.02264, 0.02396]
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: 115.69
Df Residuals: 163 MAE: 91.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 554.2455 28.8277 0.001 501.0046 614.5145
opcount 0.0233 0.0003 0.001 0.0226 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 110
R² 0.9712
coef (ms) 0.007801
p-value 1.00e-03
95% CI [0.007544, 0.008066]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 110 RMSE: 37.95
Df Residuals: 108 MAE: 30.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 113.9877 11.6087 0.001 91.9131 136.2825
opcount 0.0078 0.0001 0.001 0.0075 0.0081
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 198
R² 0.9751
coef (ms) 0.001536
p-value 1.00e-03
95% CI [0.001503, 0.001572]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 198 RMSE: 6.94
Df Residuals: 196 MAE: 5.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.8729 1.6403 0.001 37.6544 43.9970
opcount 0.0015 0.0000 0.001 0.0015 0.0016
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · besu
nobs 264
R² 0.9116
coef (ms) 0.2078
p-value 1.00e-03
95% CI [0.2003, 0.2153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.911
No. Observations: 264 RMSE: 39.74
Df Residuals: 262 MAE: 32.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 512.8831 7.4236 0.001 498.3377 527.6215
opcount 0.2078 0.0039 0.001 0.2003 0.2153
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 99
R² 0.9702
coef (ms) 0.08148
p-value 1.00e-03
95% CI [0.0785, 0.08451]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 99 RMSE: 8.78
Df Residuals: 97 MAE: 6.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.9623 2.6253 0.001 34.9169 45.2554
opcount 0.0815 0.0015 0.001 0.0785 0.0845
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · ethrex
nobs 176
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: -0.006
No. Observations: 176 RMSE: 368.92
Df Residuals: 174 MAE: 362.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 719.9441 27.9370 0.001 668.5538 774.5136
opcount 0.0000 0.0000 1.000 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · geth
nobs 165
R² 0.9284
coef (ms) 0.1312
p-value 1.00e-03
95% CI [0.1262, 0.1364]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.928
Model: NNLS Adj. R-squared: 0.928
No. Observations: 165 RMSE: 22.38
Df Residuals: 163 MAE: 15.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 81.7037 5.2792 0.001 71.7156 91.8664
opcount 0.1312 0.0026 0.001 0.1262 0.1364
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 110
R² 0.5615
coef (ms) 0.0439
p-value 1.00e-03
95% CI [0.03598, 0.05193]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.562
Model: NNLS Adj. R-squared: 0.557
No. Observations: 110 RMSE: 23.83
Df Residuals: 108 MAE: 19.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 113.2465 7.6315 0.001 99.3978 129.0271
opcount 0.0439 0.0041 0.001 0.0360 0.0519
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 198
R² 0.876
coef (ms) 0.03918
p-value 1.00e-03
95% CI [0.03708, 0.04124]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.876
Model: NNLS Adj. R-squared: 0.875
No. Observations: 198 RMSE: 9.06
Df Residuals: 196 MAE: 6.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.8422 2.1010 0.001 29.7663 37.8738
opcount 0.0392 0.0011 0.001 0.0371 0.0412
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 264
R² 0.9758
coef (ms) 0.08179
p-value 1.00e-03
95% CI [0.08028, 0.08329]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 264 RMSE: 161.14
Df Residuals: 262 MAE: 127.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1352.1760 29.9736 0.001 1294.3698 1410.3810
opcount 0.0818 0.0008 0.001 0.0803 0.0833
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 99
R² 0.9932
coef (ms) 0.0744
p-value 1.00e-03
95% CI [0.07312, 0.07568]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 99 RMSE: 77.07
Df Residuals: 97 MAE: 62.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 232.6800 23.1905 0.001 186.5424 278.1633
opcount 0.0744 0.0006 0.001 0.0731 0.0757
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · ethrex
nobs 176
R² 0.9973
coef (ms) 0.03748
p-value 1.00e-03
95% CI [0.03716, 0.03783]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.997
Model: NNLS Adj. R-squared: 0.997
No. Observations: 176 RMSE: 24.27
Df Residuals: 174 MAE: 16.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 343.0018 6.1991 0.001 330.5216 355.3456
opcount 0.0375 0.0002 0.001 0.0372 0.0378
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 165
R² 0.989
coef (ms) 0.09315
p-value 1.00e-03
95% CI [0.0916, 0.09473]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 165 RMSE: 123.13
Df Residuals: 163 MAE: 98.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 679.5455 32.2262 0.001 616.3802 742.6050
opcount 0.0931 0.0008 0.001 0.0916 0.0947
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 110
R² 0.8779
coef (ms) 0.03497
p-value 1.00e-03
95% CI [0.03243, 0.03754]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.877
No. Observations: 110 RMSE: 163.37
Df Residuals: 108 MAE: 119.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 801.6330 55.9306 0.001 700.4572 909.1640
opcount 0.0350 0.0013 0.001 0.0324 0.0375
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 198
R² 0.9946
coef (ms) 0.02326
p-value 1.00e-03
95% CI [0.02301, 0.02352]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 198 RMSE: 21.52
Df Residuals: 196 MAE: 17.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 174.5180 4.8418 0.001 165.0670 183.7466
opcount 0.0233 0.0001 0.001 0.0230 0.0235
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 264
R² 0.716
coef (ms) 0.01237
p-value 1.00e-03
95% CI [0.01144, 0.01331]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.716
Model: NNLS Adj. R-squared: 0.715
No. Observations: 264 RMSE: 186.19
Df Residuals: 262 MAE: 173.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 550.5793 35.4472 0.001 482.7874 619.7697
opcount 0.0124 0.0005 0.001 0.0114 0.0133
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 99
R² 0.9771
coef (ms) 0.008793
p-value 1.00e-03
95% CI [0.008553, 0.009042]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 99 RMSE: 32.18
Df Residuals: 97 MAE: 24.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.7665 9.0757 0.004 5.9890 41.4837
opcount 0.0088 0.0001 0.001 0.0086 0.0090
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · ethrex
nobs 176
R² 0.9805
coef (ms) 0.01757
p-value 1.00e-03
95% CI [0.01716, 0.01798]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 176 RMSE: 59.23
Df Residuals: 174 MAE: 52.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 166.0027 17.7710 0.001 130.5819 201.6954
opcount 0.0176 0.0002 0.001 0.0172 0.0180
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 165
R² 0.9187
coef (ms) 0.01085
p-value 1.00e-03
95% CI [0.01028, 0.01142]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.918
No. Observations: 165 RMSE: 77.09
Df Residuals: 163 MAE: 62.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 404.1944 24.8075 0.001 356.4357 453.8208
opcount 0.0108 0.0003 0.001 0.0103 0.0114
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 110
R² 0.8255
coef (ms) 0.004332
p-value 1.00e-03
95% CI [0.003915, 0.004713]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.826
Model: NNLS Adj. R-squared: 0.824
No. Observations: 110 RMSE: 47.60
Df Residuals: 108 MAE: 36.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.1449 13.2420 0.001 37.5162 90.0517
opcount 0.0043 0.0002 0.001 0.0039 0.0047
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 198
R² 0.9363
coef (ms) 0.00123
p-value 1.00e-03
95% CI [0.001184, 0.00128]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.936
Model: NNLS Adj. R-squared: 0.936
No. Observations: 198 RMSE: 7.67
Df Residuals: 196 MAE: 6.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.4585 1.7887 0.001 44.0418 50.8642
opcount 0.0012 0.0000 0.001 0.0012 0.0013
==============================================================================
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 264
R² 0.7723
coef (ms) 0.01284
p-value 1.00e-03
95% CI [0.012, 0.01372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.771
No. Observations: 264 RMSE: 166.67
Df Residuals: 262 MAE: 153.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 534.2406 31.6168 0.001 471.7704 597.5599
opcount 0.0128 0.0004 0.001 0.0120 0.0137
==============================================================================
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 99
R² 0.9749
coef (ms) 0.008006
p-value 1.00e-03
95% CI [0.007783, 0.008197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 99 RMSE: 30.70
Df Residuals: 97 MAE: 24.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6228 7.6580 0.111 0.0000 26.9329
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 176
R² 0.9925
coef (ms) 0.002719
p-value 1.00e-03
95% CI [0.002684, 0.00273]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 176 RMSE: 5.66
Df Residuals: 174 MAE: 4.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.7592 1.000 0.0000 2.5948
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 165
R² 0.863
coef (ms) 0.02167
p-value 1.00e-03
95% CI [0.02035, 0.02312]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.862
No. Observations: 165 RMSE: 206.42
Df Residuals: 163 MAE: 176.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 707.8492 62.5559 0.001 582.5912 826.3119
opcount 0.0217 0.0007 0.001 0.0204 0.0231
==============================================================================
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 110
R² 0.7766
coef (ms) 0.003666
p-value 1.00e-03
95% CI [0.003274, 0.004054]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.775
No. Observations: 110 RMSE: 46.99
Df Residuals: 108 MAE: 35.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 64.3274 13.6810 0.001 37.6476 92.0543
opcount 0.0037 0.0002 0.001 0.0033 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 198
R² 0.9442
coef (ms) 0.0009294
p-value 1.00e-03
95% CI [0.0008956, 0.0009649]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.944
Model: NNLS Adj. R-squared: 0.944
No. Observations: 198 RMSE: 5.40
Df Residuals: 196 MAE: 4.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9661 1.3356 0.001 43.3294 48.5736
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 264
R² 0.8513
coef (ms) 0.02562
p-value 1.00e-03
95% CI [0.02453, 0.02677]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.851
No. Observations: 264 RMSE: 222.82
Df Residuals: 262 MAE: 202.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 489.4331 36.8714 0.001 418.2329 561.2087
opcount 0.0256 0.0006 0.001 0.0245 0.0268
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 99
R² 0.9131
coef (ms) 0.03427
p-value 1.00e-03
95% CI [0.03213, 0.03609]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.913
Model: NNLS Adj. R-squared: 0.912
No. Observations: 99 RMSE: 219.97
Df Residuals: 97 MAE: 190.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 273.0308 76.6756 0.001 132.9691 440.2344
opcount 0.0343 0.0010 0.001 0.0321 0.0361
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 176
R² 0.9815
coef (ms) 0.01807
p-value 1.00e-03
95% CI [0.01764, 0.01853]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.981
No. Observations: 176 RMSE: 51.60
Df Residuals: 174 MAE: 45.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 145.9209 15.7750 0.001 115.8312 177.1993
opcount 0.0181 0.0002 0.001 0.0176 0.0185
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 165
R² 0.8643
coef (ms) 0.02327
p-value 1.00e-03
95% CI [0.02174, 0.02473]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 165 RMSE: 191.86
Df Residuals: 163 MAE: 162.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 660.9134 57.3120 0.001 552.5181 776.1922
opcount 0.0233 0.0008 0.001 0.0217 0.0247
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 110
R² 0.6881
coef (ms) 0.01509
p-value 1.00e-03
95% CI [0.01323, 0.0163]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.688
Model: NNLS Adj. R-squared: 0.685
No. Observations: 110 RMSE: 211.36
Df Residuals: 108 MAE: 144.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.8059 44.0277 0.198 0.0000 147.4658
opcount 0.0151 0.0008 0.001 0.0132 0.0163
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 198
R² 0.855
coef (ms) 0.01911
p-value 1.00e-03
95% CI [0.01801, 0.02044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.855
Model: NNLS Adj. R-squared: 0.854
No. Observations: 198 RMSE: 163.76
Df Residuals: 196 MAE: 81.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 249.9092 34.9453 0.001 179.1628 319.0958
opcount 0.0191 0.0006 0.001 0.0180 0.0204
==============================================================================
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 264
R² 0.7723
coef (ms) 0.01284
p-value 1.00e-03
95% CI [0.012, 0.01372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.771
No. Observations: 264 RMSE: 166.67
Df Residuals: 262 MAE: 153.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 534.2406 31.6168 0.001 471.7704 597.5599
opcount 0.0128 0.0004 0.001 0.0120 0.0137
==============================================================================
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 99
R² 0.9749
coef (ms) 0.008006
p-value 1.00e-03
95% CI [0.007783, 0.008197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.975
Model: NNLS Adj. R-squared: 0.975
No. Observations: 99 RMSE: 30.70
Df Residuals: 97 MAE: 24.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 10.6228 7.6580 0.111 0.0000 26.9329
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 176
R² 0.9925
coef (ms) 0.002719
p-value 1.00e-03
95% CI [0.002684, 0.00273]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 176 RMSE: 5.66
Df Residuals: 174 MAE: 4.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.7592 1.000 0.0000 2.5948
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 165
R² 0.863
coef (ms) 0.02167
p-value 1.00e-03
95% CI [0.02035, 0.02312]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.862
No. Observations: 165 RMSE: 206.42
Df Residuals: 163 MAE: 176.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 707.8492 62.5559 0.001 582.5912 826.3119
opcount 0.0217 0.0007 0.001 0.0204 0.0231
==============================================================================
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 110
R² 0.7766
coef (ms) 0.003666
p-value 1.00e-03
95% CI [0.003274, 0.004054]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.775
No. Observations: 110 RMSE: 46.99
Df Residuals: 108 MAE: 35.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 64.3274 13.6810 0.001 37.6476 92.0543
opcount 0.0037 0.0002 0.001 0.0033 0.0041
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 198
R² 0.9442
coef (ms) 0.0009294
p-value 1.00e-03
95% CI [0.0008956, 0.0009649]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.944
Model: NNLS Adj. R-squared: 0.944
No. Observations: 198 RMSE: 5.40
Df Residuals: 196 MAE: 4.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.9661 1.3356 0.001 43.3294 48.5736
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 264
R² 0.4614
coef (ms) 0.0001175
p-value 1.00e-03
95% CI [0.0001023, 0.0001328]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.461
Model: NNLS Adj. R-squared: 0.459
No. Observations: 264 RMSE: 74.23
Df Residuals: 262 MAE: 52.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 233.1190 16.6418 0.001 201.0980 266.1768
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · erigon
nobs 99
R² 0.8803
coef (ms) 4.575e-05
p-value 1.00e-03
95% CI [4.195e-05, 4.915e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.879
No. Observations: 99 RMSE: 9.87
Df Residuals: 97 MAE: 7.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6482 3.2629 0.001 14.5571 27.2282
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 176
R² 0.7316
coef (ms) 1.554e-05
p-value 1.00e-03
95% CI [1.426e-05, 1.681e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.732
Model: NNLS Adj. R-squared: 0.730
No. Observations: 176 RMSE: 5.50
Df Residuals: 174 MAE: 3.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2792 0.9915 0.001 4.3505 8.2211
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 165
R² 0.7209
coef (ms) 2.838e-05
p-value 1.00e-03
95% CI [2.57e-05, 3.078e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.721
Model: NNLS Adj. R-squared: 0.719
No. Observations: 165 RMSE: 10.33
Df Residuals: 163 MAE: 7.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 21.9262 2.6812 0.001 16.9953 27.3910
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 110
R² 0.7701
coef (ms) 0.0001541
p-value 1.00e-03
95% CI [0.0001389, 0.0001687]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.768
No. Observations: 110 RMSE: 49.23
Df Residuals: 108 MAE: 38.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.3427 14.1966 0.001 42.7970 98.2841
opcount 0.0002 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · reth
nobs 198
R² 0.4642
coef (ms) 9.846e-06
p-value 1.00e-03
95% CI [8.37e-06, 1.123e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.464
Model: NNLS Adj. R-squared: 0.462
No. Observations: 198 RMSE: 6.19
Df Residuals: 196 MAE: 3.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 7.4421 1.5228 0.001 4.7171 10.7744
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 264
R² 0.7687
coef (ms) 0.01577
p-value 1.00e-03
95% CI [0.01477, 0.01683]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.769
Model: NNLS Adj. R-squared: 0.768
No. Observations: 264 RMSE: 205.45
Df Residuals: 262 MAE: 189.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 612.3790 38.5301 0.001 531.1366 684.2758
opcount 0.0158 0.0005 0.001 0.0148 0.0168
==============================================================================
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 99
R² 0.9783
coef (ms) 0.01017
p-value 1.00e-03
95% CI [0.009845, 0.01053]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 99 RMSE: 35.97
Df Residuals: 97 MAE: 27.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.8363 11.5444 0.001 10.1607 55.9168
opcount 0.0102 0.0002 0.001 0.0098 0.0105
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · ethrex
nobs 176
R² 0.9809
coef (ms) 0.01769
p-value 1.00e-03
95% CI [0.01726, 0.01814]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 176 RMSE: 58.66
Df Residuals: 174 MAE: 51.85
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 166.7021 18.8765 0.001 129.7595 203.3868
opcount 0.0177 0.0002 0.001 0.0173 0.0181
==============================================================================
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 165
R² 0.9184
coef (ms) 0.01079
p-value 1.00e-03
95% CI [0.01021, 0.01143]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.918
Model: NNLS Adj. R-squared: 0.918
No. Observations: 165 RMSE: 76.42
Df Residuals: 163 MAE: 62.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 418.8697 26.7193 0.001 364.6035 468.5328
opcount 0.0108 0.0003 0.001 0.0102 0.0114
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · nethermind
nobs 110
R² 0.8451
coef (ms) 0.004662
p-value 1.00e-03
95% CI [0.004271, 0.00506]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.844
No. Observations: 110 RMSE: 47.39
Df Residuals: 108 MAE: 36.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.0324 13.8540 0.001 44.9772 99.1903
opcount 0.0047 0.0002 0.001 0.0043 0.0051
==============================================================================
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 198
R² 0.9475
coef (ms) 0.001301
p-value 1.00e-03
95% CI [0.001255, 0.001349]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.948
Model: NNLS Adj. R-squared: 0.947
No. Observations: 198 RMSE: 7.27
Df Residuals: 196 MAE: 5.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.1557 1.7053 0.001 42.9256 49.4661
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 264
R² 0.7913
coef (ms) 0.01623
p-value 1.00e-03
95% CI [0.01525, 0.0171]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.791
No. Observations: 264 RMSE: 197.90
Df Residuals: 262 MAE: 179.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 532.7202 34.3748 0.001 467.1336 600.5427
opcount 0.0162 0.0005 0.001 0.0153 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 99
R² 0.9738
coef (ms) 0.009286
p-value 1.00e-03
95% CI [0.008993, 0.009464]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.973
No. Observations: 99 RMSE: 36.19
Df Residuals: 97 MAE: 27.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8364 7.7858 0.277 0.0000 25.7295
opcount 0.0093 0.0001 0.001 0.0090 0.0095
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · ethrex
nobs 176
R² 0.9876
coef (ms) 0.002718
p-value 1.00e-03
95% CI [0.002673, 0.002765]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 176 RMSE: 7.22
Df Residuals: 174 MAE: 5.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.7478 1.7250 0.001 3.3829 10.1411
opcount 0.0027 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 165
R² 0.8635
coef (ms) 0.02236
p-value 1.00e-03
95% CI [0.02095, 0.02387]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 165 RMSE: 211.04
Df Residuals: 163 MAE: 178.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 694.1126 63.6136 0.001 564.3291 815.2120
opcount 0.0224 0.0007 0.001 0.0210 0.0239
==============================================================================
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 110
R² 0.8131
coef (ms) 0.003909
p-value 1.00e-03
95% CI [0.003581, 0.004284]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.811
No. Observations: 110 RMSE: 44.50
Df Residuals: 108 MAE: 34.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 93.8185 13.2721 0.001 65.9204 119.3043
opcount 0.0039 0.0002 0.001 0.0036 0.0043
==============================================================================
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 198
R² 0.9391
coef (ms) 0.0009449
p-value 1.00e-03
95% CI [0.0009099, 0.0009784]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 198 RMSE: 5.71
Df Residuals: 196 MAE: 4.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.9227 1.3064 0.001 47.4483 52.5418
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 264
R² 0.8805
coef (ms) 0.02753
p-value 1.00e-03
95% CI [0.0263, 0.02876]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 264 RMSE: 206.39
Df Residuals: 262 MAE: 190.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 534.4520 37.6307 0.001 461.4932 608.6296
opcount 0.0275 0.0006 0.001 0.0263 0.0288
==============================================================================
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 99
R² 0.879
coef (ms) 0.08167
p-value 1.00e-03
95% CI [0.07536, 0.08685]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.879
Model: NNLS Adj. R-squared: 0.878
No. Observations: 99 RMSE: 616.66
Df Residuals: 97 MAE: 532.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 953.7934 217.5046 0.001 580.3877 1422.2337
opcount 0.0817 0.0029 0.001 0.0754 0.0869
==============================================================================
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 176
R² 0.9818
coef (ms) 0.01826
p-value 1.00e-03
95% CI [0.01784, 0.01869]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 176 RMSE: 50.62
Df Residuals: 174 MAE: 45.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 143.4340 15.8530 0.001 112.6488 173.8469
opcount 0.0183 0.0002 0.001 0.0178 0.0187
==============================================================================
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 165
R² 0.8638
coef (ms) 0.02364
p-value 1.00e-03
95% CI [0.02207, 0.02533]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 165 RMSE: 191.04
Df Residuals: 163 MAE: 161.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 657.6655 59.6958 0.001 539.2645 777.3906
opcount 0.0236 0.0008 0.001 0.0221 0.0253
==============================================================================
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 110
R² 0.6638
coef (ms) 0.01706
p-value 1.00e-03
95% CI [0.01456, 0.0187]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.664
Model: NNLS Adj. R-squared: 0.661
No. Observations: 110 RMSE: 247.02
Df Residuals: 108 MAE: 181.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.8097 63.4917 0.211 0.0000 208.7629
opcount 0.0171 0.0011 0.001 0.0146 0.0187
==============================================================================
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 198
R² 0.8009
coef (ms) 0.01896
p-value 1.00e-03
95% CI [0.01771, 0.02037]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.801
Model: NNLS Adj. R-squared: 0.800
No. Observations: 198 RMSE: 192.43
Df Residuals: 196 MAE: 105.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 283.4134 41.2817 0.001 204.6778 369.8146
opcount 0.0190 0.0007 0.001 0.0177 0.0204
==============================================================================
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 264
R² 0.7913
coef (ms) 0.01623
p-value 1.00e-03
95% CI [0.01525, 0.0171]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.791
No. Observations: 264 RMSE: 197.90
Df Residuals: 262 MAE: 179.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 532.7202 34.3748 0.001 467.1336 600.5427
opcount 0.0162 0.0005 0.001 0.0153 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 99
R² 0.9738
coef (ms) 0.009286
p-value 1.00e-03
95% CI [0.008993, 0.009464]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.973
No. Observations: 99 RMSE: 36.19
Df Residuals: 97 MAE: 27.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.8364 7.7858 0.277 0.0000 25.7295
opcount 0.0093 0.0001 0.001 0.0090 0.0095
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · ethrex
nobs 176
R² 0.9876
coef (ms) 0.002718
p-value 1.00e-03
95% CI [0.002673, 0.002765]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 176 RMSE: 7.22
Df Residuals: 174 MAE: 5.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.7478 1.7250 0.001 3.3829 10.1411
opcount 0.0027 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 165
R² 0.8635
coef (ms) 0.02236
p-value 1.00e-03
95% CI [0.02095, 0.02387]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.864
Model: NNLS Adj. R-squared: 0.863
No. Observations: 165 RMSE: 211.04
Df Residuals: 163 MAE: 178.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 694.1126 63.6136 0.001 564.3291 815.2120
opcount 0.0224 0.0007 0.001 0.0210 0.0239
==============================================================================
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 110
R² 0.8131
coef (ms) 0.003909
p-value 1.00e-03
95% CI [0.003581, 0.004284]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.813
Model: NNLS Adj. R-squared: 0.811
No. Observations: 110 RMSE: 44.50
Df Residuals: 108 MAE: 34.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 93.8185 13.2721 0.001 65.9204 119.3043
opcount 0.0039 0.0002 0.001 0.0036 0.0043
==============================================================================
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 198
R² 0.9391
coef (ms) 0.0009449
p-value 1.00e-03
95% CI [0.0009099, 0.0009784]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 198 RMSE: 5.71
Df Residuals: 196 MAE: 4.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.9227 1.3064 0.001 47.4483 52.5418
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 264
R² 0.9434
coef (ms) 0.07626
p-value 1.00e-03
95% CI [0.07392, 0.07844]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.943
Model: NNLS Adj. R-squared: 0.943
No. Observations: 264 RMSE: 125.75
Df Residuals: 262 MAE: 100.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 395.4683 25.9051 0.001 347.5945 446.4297
opcount 0.0763 0.0012 0.001 0.0739 0.0784
==============================================================================
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 99
R² 0.9811
coef (ms) 0.06006
p-value 1.00e-03
95% CI [0.05844, 0.06164]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 99 RMSE: 56.06
Df Residuals: 97 MAE: 42.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 189.6105 16.3776 0.001 160.6700 225.4661
opcount 0.0601 0.0008 0.001 0.0584 0.0616
==============================================================================
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 176
R² 0.996
coef (ms) 0.02483
p-value 1.00e-03
95% CI [0.02459, 0.02506]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 176 RMSE: 10.61
Df Residuals: 174 MAE: 8.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.7048 2.5750 0.001 65.8629 76.0162
opcount 0.0248 0.0001 0.001 0.0246 0.0251
==============================================================================
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 165
R² 0.9726
coef (ms) 0.05939
p-value 1.00e-03
95% CI [0.05784, 0.06079]
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: 67.07
Df Residuals: 163 MAE: 57.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 171.7182 15.1238 0.001 142.7414 200.4130
opcount 0.0594 0.0008 0.001 0.0578 0.0608
==============================================================================
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 110
R² 0.8342
coef (ms) 0.03357
p-value 1.00e-03
95% CI [0.0306, 0.03645]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.834
Model: NNLS Adj. R-squared: 0.833
No. Observations: 110 RMSE: 100.71
Df Residuals: 108 MAE: 82.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 144.0254 29.4946 0.001 85.4654 199.0783
opcount 0.0336 0.0015 0.001 0.0306 0.0365
==============================================================================
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 198
R² 0.9869
coef (ms) 0.02594
p-value 1.00e-03
95% CI [0.02547, 0.02639]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.987
Model: NNLS Adj. R-squared: 0.987
No. Observations: 198 RMSE: 20.12
Df Residuals: 196 MAE: 15.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 86.2798 4.3945 0.001 77.5315 95.0495
opcount 0.0259 0.0002 0.001 0.0255 0.0264
==============================================================================
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 264
R² 0.8586
coef (ms) 0.2213
p-value 1.00e-03
95% CI [0.2103, 0.2332]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.858
No. Observations: 264 RMSE: 29.57
Df Residuals: 262 MAE: 24.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 340.5787 6.2579 0.001 328.1066 352.6181
opcount 0.2213 0.0058 0.001 0.2103 0.2332
==============================================================================
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 99
R² 0.9799
coef (ms) 0.139
p-value 1.00e-03
95% CI [0.1352, 0.1428]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 99 RMSE: 6.55
Df Residuals: 97 MAE: 5.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3163 2.2193 0.001 27.0223 35.6353
opcount 0.1390 0.0020 0.001 0.1352 0.1428
==============================================================================
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 176
R² 0.7496
coef (ms) 0.01379
p-value 1.00e-03
95% CI [0.01261, 0.01503]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.750
Model: NNLS Adj. R-squared: 0.748
No. Observations: 176 RMSE: 2.62
Df Residuals: 174 MAE: 2.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2782 0.7065 0.001 7.8399 10.6491
opcount 0.0138 0.0006 0.001 0.0126 0.0150
==============================================================================
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 165
R² 0.8676
coef (ms) 0.1007
p-value 1.00e-03
95% CI [0.0951, 0.1068]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 165 RMSE: 12.95
Df Residuals: 163 MAE: 9.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.9559 2.8838 0.001 48.3555 59.4082
opcount 0.1007 0.0030 0.001 0.0951 0.1068
==============================================================================
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 110
R² 0.7701
coef (ms) 0.04978
p-value 1.00e-03
95% CI [0.04532, 0.05466]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.768
No. Observations: 110 RMSE: 8.96
Df Residuals: 108 MAE: 7.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.4723 2.3902 0.001 17.7436 27.0808
opcount 0.0498 0.0023 0.001 0.0453 0.0547
==============================================================================
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 198
R² 0.7067
coef (ms) 0.02588
p-value 1.00e-03
95% CI [0.02358, 0.02819]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.707
Model: NNLS Adj. R-squared: 0.705
No. Observations: 198 RMSE: 5.49
Df Residuals: 196 MAE: 3.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.8022 1.2105 0.001 12.6329 17.3790
opcount 0.0259 0.0012 0.001 0.0236 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_write] · besu
nobs 264
R² 0.9147
coef (ms) 0.08562
p-value 1.00e-03
95% CI [0.08236, 0.08878]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.915
Model: NNLS Adj. R-squared: 0.914
No. Observations: 264 RMSE: 167.96
Df Residuals: 262 MAE: 146.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1058.5980 30.0942 0.001 997.8561 1121.9517
opcount 0.0856 0.0016 0.001 0.0824 0.0888
==============================================================================
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 99
R² 0.9921
coef (ms) 0.2458
p-value 1.00e-03
95% CI [0.241, 0.2502]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.992
Model: NNLS Adj. R-squared: 0.992
No. Observations: 99 RMSE: 141.13
Df Residuals: 97 MAE: 113.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1066.5146 41.9265 0.001 987.8889 1153.3923
opcount 0.2458 0.0024 0.001 0.2410 0.2502
==============================================================================
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 176
R² 0.9936
coef (ms) 0.0257
p-value 1.00e-03
95% CI [0.02541, 0.02603]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 176 RMSE: 13.24
Df Residuals: 174 MAE: 10.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 67.9754 2.9675 0.001 62.1712 73.8736
opcount 0.0257 0.0002 0.001 0.0254 0.0260
==============================================================================
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 165
R² 0.977
coef (ms) 0.09784
p-value 1.00e-03
95% CI [0.09559, 0.1004]
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: 96.43
Df Residuals: 163 MAE: 78.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 304.6388 22.5616 0.001 257.4947 347.0654
opcount 0.0978 0.0012 0.001 0.0956 0.1004
==============================================================================
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 110
R² 0.8482
coef (ms) 0.05174
p-value 1.00e-03
95% CI [0.04756, 0.05594]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.847
No. Observations: 110 RMSE: 140.58
Df Residuals: 108 MAE: 110.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 122.7341 37.8223 0.003 48.8434 196.9162
opcount 0.0517 0.0022 0.001 0.0476 0.0559
==============================================================================
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 198
R² 0.9259
coef (ms) 0.03485
p-value 1.00e-03
95% CI [0.0334, 0.03621]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.926
Model: NNLS Adj. R-squared: 0.926
No. Observations: 198 RMSE: 63.32
Df Residuals: 196 MAE: 50.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 126.9905 12.5075 0.001 103.4421 151.6503
opcount 0.0348 0.0007 0.001 0.0334 0.0362
==============================================================================
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 264
R² 0.8586
coef (ms) 0.2213
p-value 1.00e-03
95% CI [0.2103, 0.2332]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.858
No. Observations: 264 RMSE: 29.57
Df Residuals: 262 MAE: 24.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 340.5787 6.2579 0.001 328.1066 352.6181
opcount 0.2213 0.0058 0.001 0.2103 0.2332
==============================================================================
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 99
R² 0.9799
coef (ms) 0.139
p-value 1.00e-03
95% CI [0.1352, 0.1428]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 99 RMSE: 6.55
Df Residuals: 97 MAE: 5.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3163 2.2193 0.001 27.0223 35.6353
opcount 0.1390 0.0020 0.001 0.1352 0.1428
==============================================================================
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 176
R² 0.7496
coef (ms) 0.01379
p-value 1.00e-03
95% CI [0.01261, 0.01503]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.750
Model: NNLS Adj. R-squared: 0.748
No. Observations: 176 RMSE: 2.62
Df Residuals: 174 MAE: 2.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2782 0.7065 0.001 7.8399 10.6491
opcount 0.0138 0.0006 0.001 0.0126 0.0150
==============================================================================
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 165
R² 0.8676
coef (ms) 0.1007
p-value 1.00e-03
95% CI [0.0951, 0.1068]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 165 RMSE: 12.95
Df Residuals: 163 MAE: 9.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 53.9559 2.8838 0.001 48.3555 59.4082
opcount 0.1007 0.0030 0.001 0.0951 0.1068
==============================================================================
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 110
R² 0.7701
coef (ms) 0.04978
p-value 1.00e-03
95% CI [0.04532, 0.05466]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.768
No. Observations: 110 RMSE: 8.96
Df Residuals: 108 MAE: 7.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.4723 2.3902 0.001 17.7436 27.0808
opcount 0.0498 0.0023 0.001 0.0453 0.0547
==============================================================================
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 198
R² 0.7067
coef (ms) 0.02588
p-value 1.00e-03
95% CI [0.02358, 0.02819]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.707
Model: NNLS Adj. R-squared: 0.705
No. Observations: 198 RMSE: 5.49
Df Residuals: 196 MAE: 3.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.8022 1.2105 0.001 12.6329 17.3790
opcount 0.0259 0.0012 0.001 0.0236 0.0282
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 264
R² 0.7573
coef (ms) 0.0005034
p-value 1.00e-03
95% CI [0.0004659, 0.0005388]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.756
No. Observations: 264 RMSE: 143.97
Df Residuals: 262 MAE: 113.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 668.2411 27.7900 0.001 614.7480 724.3476
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · erigon
nobs 99
R² 0.9083
coef (ms) 0.0005039
p-value 1.00e-03
95% CI [0.0004721, 0.0005255]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.907
No. Observations: 99 RMSE: 80.87
Df Residuals: 97 MAE: 65.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.4686 20.7230 0.218 0.0000 69.8240
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 176
R² 0.9245
coef (ms) 9.803e-05
p-value 1.00e-03
95% CI [9.409e-05, 0.0001024]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.924
No. Observations: 176 RMSE: 14.15
Df Residuals: 174 MAE: 11.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.6594 3.2826 0.001 39.1447 51.4775
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 165
R² 0.9007
coef (ms) 0.0001268
p-value 1.00e-03
95% CI [0.0001201, 0.0001335]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.900
No. Observations: 165 RMSE: 21.27
Df Residuals: 163 MAE: 16.76
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.9246 5.1000 0.001 46.7045 66.7761
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 110
R² 0.6664
coef (ms) 0.000387
p-value 1.00e-03
95% CI [0.0003349, 0.0004422]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.666
Model: NNLS Adj. R-squared: 0.663
No. Observations: 110 RMSE: 138.36
Df Residuals: 108 MAE: 107.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 138.6211 36.5403 0.001 66.0361 209.7754
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 198
R² 0.8958
coef (ms) 5.776e-05
p-value 1.00e-03
95% CI [5.51e-05, 6.026e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.895
No. Observations: 198 RMSE: 9.96
Df Residuals: 196 MAE: 7.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.2085 2.0820 0.001 23.1916 31.5815
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 264
R² 0.7365
coef (ms) 0.01556
p-value 1.00e-03
95% CI [0.01449, 0.01677]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.737
Model: NNLS Adj. R-squared: 0.736
No. Observations: 264 RMSE: 221.05
Df Residuals: 262 MAE: 189.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 569.4814 40.3018 0.001 490.0654 646.4087
opcount 0.0156 0.0006 0.001 0.0145 0.0168
==============================================================================
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 99
R² 0.9773
coef (ms) 0.00906
p-value 1.00e-03
95% CI [0.008806, 0.009359]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 99 RMSE: 32.75
Df Residuals: 97 MAE: 25.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.4358 9.5895 0.001 15.4205 53.7570
opcount 0.0091 0.0001 0.001 0.0088 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · ethrex
nobs 176
R² 0.9809
coef (ms) 0.01765
p-value 1.00e-03
95% CI [0.01723, 0.01809]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 176 RMSE: 58.47
Df Residuals: 174 MAE: 51.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 169.4110 18.7035 0.001 134.4501 205.7403
opcount 0.0176 0.0002 0.001 0.0172 0.0181
==============================================================================
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 165
R² 0.9306
coef (ms) 0.01103
p-value 1.00e-03
95% CI [0.01048, 0.01158]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.930
No. Observations: 165 RMSE: 71.53
Df Residuals: 163 MAE: 58.37
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 410.6720 24.0064 0.001 364.8249 456.4333
opcount 0.0110 0.0003 0.001 0.0105 0.0116
==============================================================================
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 110
R² 0.8507
coef (ms) 0.004636
p-value 1.00e-03
95% CI [0.004277, 0.005019]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.849
No. Observations: 110 RMSE: 46.11
Df Residuals: 108 MAE: 36.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.7662 13.0721 0.001 32.2792 84.1370
opcount 0.0046 0.0002 0.001 0.0043 0.0050
==============================================================================
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 198
R² 0.9348
coef (ms) 0.001297
p-value 1.00e-03
95% CI [0.001244, 0.001344]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.935
Model: NNLS Adj. R-squared: 0.934
No. Observations: 198 RMSE: 8.13
Df Residuals: 196 MAE: 6.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.1411 1.8532 0.001 43.7487 50.9127
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 264
R² 0.7521
coef (ms) 0.01519
p-value 1.00e-03
95% CI [0.01416, 0.01623]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.752
Model: NNLS Adj. R-squared: 0.751
No. Observations: 264 RMSE: 207.01
Df Residuals: 262 MAE: 190.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 529.6363 37.2463 0.001 454.5315 604.0083
opcount 0.0152 0.0005 0.001 0.0142 0.0162
==============================================================================
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 99
R² 0.9809
coef (ms) 0.00851
p-value 1.00e-03
95% CI [0.008263, 0.008745]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 99 RMSE: 28.21
Df Residuals: 97 MAE: 20.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9821 8.2898 0.029 0.0000 32.6639
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 176
R² 0.9894
coef (ms) 0.002758
p-value 1.00e-03
95% CI [0.002716, 0.002801]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 176 RMSE: 6.76
Df Residuals: 174 MAE: 5.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.8572 1.5611 0.005 0.8004 6.8828
opcount 0.0028 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 165
R² 0.8713
coef (ms) 0.02246
p-value 1.00e-03
95% CI [0.02105, 0.02375]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 165 RMSE: 204.98
Df Residuals: 163 MAE: 174.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 727.4438 60.4628 0.001 614.7246 847.8219
opcount 0.0225 0.0007 0.001 0.0211 0.0237
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 110
R² 0.8091
coef (ms) 0.004053
p-value 1.00e-03
95% CI [0.003621, 0.004531]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.807
No. Observations: 110 RMSE: 46.76
Df Residuals: 108 MAE: 32.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.5855 14.7715 0.001 26.2050 85.4217
opcount 0.0041 0.0002 0.001 0.0036 0.0045
==============================================================================
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 198
R² 0.9447
coef (ms) 0.000953
p-value 1.00e-03
95% CI [0.0009221, 0.0009878]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.945
Model: NNLS Adj. R-squared: 0.944
No. Observations: 198 RMSE: 5.48
Df Residuals: 196 MAE: 4.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.0387 1.2022 0.001 45.5542 50.2829
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_access] · besu
nobs 264
R² 0.8527
coef (ms) 0.02789
p-value 1.00e-03
95% CI [0.0265, 0.0293]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 264 RMSE: 235.86
Df Residuals: 262 MAE: 218.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 512.9891 42.5062 0.001 432.9051 595.2957
opcount 0.0279 0.0007 0.001 0.0265 0.0293
==============================================================================
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 99
R² 0.8803
coef (ms) 0.08141
p-value 1.00e-03
95% CI [0.07473, 0.08687]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.879
No. Observations: 99 RMSE: 610.95
Df Residuals: 97 MAE: 526.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 951.8967 230.0571 0.001 537.2023 1452.0225
opcount 0.0814 0.0031 0.001 0.0747 0.0869
==============================================================================
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 176
R² 0.9817
coef (ms) 0.01824
p-value 1.00e-03
95% CI [0.01782, 0.01867]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 176 RMSE: 50.66
Df Residuals: 174 MAE: 45.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 144.5653 15.2333 0.001 114.6069 174.5528
opcount 0.0182 0.0002 0.001 0.0178 0.0187
==============================================================================
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 165
R² 0.8585
coef (ms) 0.02322
p-value 1.00e-03
95% CI [0.02175, 0.02482]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 165 RMSE: 191.85
Df Residuals: 163 MAE: 162.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 687.2830 57.0321 0.001 570.1328 795.6706
opcount 0.0232 0.0008 0.001 0.0218 0.0248
==============================================================================
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 110
R² 0.6621
coef (ms) 0.01523
p-value 1.00e-03
95% CI [0.01289, 0.01753]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.662
Model: NNLS Adj. R-squared: 0.659
No. Observations: 110 RMSE: 221.40
Df Residuals: 108 MAE: 156.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 151.1632 68.2958 0.013 19.3718 284.8440
opcount 0.0152 0.0012 0.001 0.0129 0.0175
==============================================================================
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 198
R² 0.8711
coef (ms) 0.01821
p-value 1.00e-03
95% CI [0.01741, 0.0191]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.870
No. Observations: 198 RMSE: 142.54
Df Residuals: 196 MAE: 69.18
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 307.6757 26.8529 0.001 256.5290 361.4153
opcount 0.0182 0.0004 0.001 0.0174 0.0191
==============================================================================
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 264
R² 0.7521
coef (ms) 0.01519
p-value 1.00e-03
95% CI [0.01416, 0.01623]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.752
Model: NNLS Adj. R-squared: 0.751
No. Observations: 264 RMSE: 207.01
Df Residuals: 262 MAE: 190.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 529.6363 37.2463 0.001 454.5315 604.0083
opcount 0.0152 0.0005 0.001 0.0142 0.0162
==============================================================================
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 99
R² 0.9809
coef (ms) 0.00851
p-value 1.00e-03
95% CI [0.008263, 0.008745]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 99 RMSE: 28.21
Df Residuals: 97 MAE: 20.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 15.9821 8.2898 0.029 0.0000 32.6639
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 176
R² 0.9894
coef (ms) 0.002758
p-value 1.00e-03
95% CI [0.002716, 0.002801]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.989
Model: NNLS Adj. R-squared: 0.989
No. Observations: 176 RMSE: 6.76
Df Residuals: 174 MAE: 5.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.8572 1.5611 0.005 0.8004 6.8828
opcount 0.0028 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 165
R² 0.8713
coef (ms) 0.02246
p-value 1.00e-03
95% CI [0.02105, 0.02375]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 165 RMSE: 204.98
Df Residuals: 163 MAE: 174.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 727.4438 60.4628 0.001 614.7246 847.8219
opcount 0.0225 0.0007 0.001 0.0211 0.0237
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 110
R² 0.8091
coef (ms) 0.004053
p-value 1.00e-03
95% CI [0.003621, 0.004531]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.809
Model: NNLS Adj. R-squared: 0.807
No. Observations: 110 RMSE: 46.76
Df Residuals: 108 MAE: 32.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.5855 14.7715 0.001 26.2050 85.4217
opcount 0.0041 0.0002 0.001 0.0036 0.0045
==============================================================================
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 198
R² 0.9447
coef (ms) 0.000953
p-value 1.00e-03
95% CI [0.0009221, 0.0009878]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.945
Model: NNLS Adj. R-squared: 0.944
No. Observations: 198 RMSE: 5.48
Df Residuals: 196 MAE: 4.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.0387 1.2022 0.001 45.5542 50.2829
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · besu
nobs 264
R² 0.7569
coef (ms) 0.02343
p-value 1.00e-03
95% CI [0.02187, 0.02518]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.756
No. Observations: 264 RMSE: 89.35
Df Residuals: 262 MAE: 76.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 102.6748 16.6525 0.001 68.0270 134.2592
opcount 0.0234 0.0008 0.001 0.0219 0.0252
==============================================================================
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 99
R² 0.9444
coef (ms) 0.007413
p-value 1.00e-03
95% CI [0.007068, 0.00785]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.944
Model: NNLS Adj. R-squared: 0.944
No. Observations: 99 RMSE: 12.11
Df Residuals: 97 MAE: 9.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.9348 3.8681 0.001 17.5445 32.6276
opcount 0.0074 0.0002 0.001 0.0071 0.0079
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · ethrex
nobs 176
R² 0.9915
coef (ms) 0.01516
p-value 1.00e-03
95% CI [0.0149, 0.01539]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 176 RMSE: 9.45
Df Residuals: 174 MAE: 7.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.2921 2.9888 0.001 50.6975 62.3686
opcount 0.0152 0.0001 0.001 0.0149 0.0154
==============================================================================
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 165
R² 0.8868
coef (ms) 0.0134
p-value 1.00e-03
95% CI [0.0126, 0.0142]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.887
Model: NNLS Adj. R-squared: 0.886
No. Observations: 165 RMSE: 32.20
Df Residuals: 163 MAE: 26.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 142.0570 9.5038 0.001 124.5781 160.6140
opcount 0.0134 0.0004 0.001 0.0126 0.0142
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_write] · nethermind
nobs 110
R² 0.7288
coef (ms) 0.004347
p-value 1.00e-03
95% CI [0.003846, 0.004936]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.726
No. Observations: 110 RMSE: 17.84
Df Residuals: 108 MAE: 14.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.6972 5.8458 0.001 46.7360 69.4970
opcount 0.0043 0.0003 0.001 0.0038 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 198
R² 0.8803
coef (ms) 0.001734
p-value 1.00e-03
95% CI [0.001646, 0.001829]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 198 RMSE: 4.30
Df Residuals: 196 MAE: 3.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.8714 0.9000 0.001 9.9983 13.5457
opcount 0.0017 0.0000 0.001 0.0016 0.0018
==============================================================================
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 264
R² 0.3078
coef (ms) 0.005808
p-value 1.00e-03
95% CI [0.004772, 0.006835]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.308
Model: NNLS Adj. R-squared: 0.305
No. Observations: 264 RMSE: 58.63
Df Residuals: 262 MAE: 53.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 322.7184 10.3144 0.001 302.7177 343.2816
opcount 0.0058 0.0005 0.001 0.0048 0.0068
==============================================================================
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 99
R² 0.9308
coef (ms) 0.001926
p-value 1.00e-03
95% CI [0.001801, 0.002044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.930
No. Observations: 99 RMSE: 3.53
Df Residuals: 97 MAE: 2.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.4287 1.2657 0.001 33.1193 38.0748
opcount 0.0019 0.0001 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 176
R² 0.5683
coef (ms) 0.0003913
p-value 1.00e-03
95% CI [0.0003346, 0.0004448]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.568
Model: NNLS Adj. R-squared: 0.566
No. Observations: 176 RMSE: 2.30
Df Residuals: 174 MAE: 1.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.9758 0.6074 0.001 10.8132 13.2254
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · geth
nobs 165
R² 0.9669
coef (ms) 0.01044
p-value 1.00e-03
95% CI [0.01014, 0.01074]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 165 RMSE: 13.01
Df Residuals: 163 MAE: 10.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 333.1504 3.0073 0.001 327.3104 338.9768
opcount 0.0104 0.0002 0.001 0.0101 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 110
R² 0.4785
coef (ms) 0.001485
p-value 1.00e-03
95% CI [0.001249, 0.001743]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.478
Model: NNLS Adj. R-squared: 0.474
No. Observations: 110 RMSE: 10.44
Df Residuals: 108 MAE: 7.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.9233 2.7529 0.001 37.7152 48.2861
opcount 0.0015 0.0001 0.001 0.0012 0.0017
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · reth
nobs 198
R² 0.3328
coef (ms) 0.00032
p-value 1.00e-03
95% CI [0.0002644, 0.0003725]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.333
Model: NNLS Adj. R-squared: 0.329
No. Observations: 198 RMSE: 3.05
Df Residuals: 196 MAE: 1.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2291 0.6166 0.001 8.0822 10.4881
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 264
R² 0.6551
coef (ms) 0.02639
p-value 1.00e-03
95% CI [0.02422, 0.02863]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.655
Model: NNLS Adj. R-squared: 0.654
No. Observations: 264 RMSE: 123.01
Df Residuals: 262 MAE: 114.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 385.7964 21.8586 0.001 346.1656 428.0251
opcount 0.0264 0.0012 0.001 0.0242 0.0286
==============================================================================
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 99
R² 0.9121
coef (ms) 0.07444
p-value 1.00e-03
95% CI [0.06998, 0.07846]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.912
Model: NNLS Adj. R-squared: 0.911
No. Observations: 99 RMSE: 148.38
Df Residuals: 97 MAE: 123.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 352.9710 49.3722 0.001 261.1056 458.8366
opcount 0.0744 0.0021 0.001 0.0700 0.0785
==============================================================================
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 176
R² 0.9913
coef (ms) 0.01578
p-value 1.00e-03
95% CI [0.01554, 0.01603]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 176 RMSE: 9.52
Df Residuals: 174 MAE: 8.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.2804 2.8826 0.001 50.9732 61.8483
opcount 0.0158 0.0001 0.001 0.0155 0.0160
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · geth
nobs 165
R² 0.8609
coef (ms) 0.02444
p-value 1.00e-03
95% CI [0.02282, 0.0261]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.861
Model: NNLS Adj. R-squared: 0.860
No. Observations: 165 RMSE: 63.11
Df Residuals: 163 MAE: 53.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 264.6388 18.7630 0.001 228.5357 301.5520
opcount 0.0244 0.0008 0.001 0.0228 0.0261
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · nethermind
nobs 110
R² 0.5724
coef (ms) 0.01519
p-value 1.00e-03
95% CI [0.01267, 0.01759]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.572
Model: NNLS Adj. R-squared: 0.568
No. Observations: 110 RMSE: 84.33
Df Residuals: 108 MAE: 72.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 92.1689 22.8182 0.001 49.1285 137.7484
opcount 0.0152 0.0013 0.001 0.0127 0.0176
==============================================================================
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 198
R² 0.7349
coef (ms) 0.02178
p-value 1.00e-03
95% CI [0.01987, 0.02376]
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: 84.03
Df Residuals: 196 MAE: 57.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.2843 17.8958 0.002 22.6164 93.9117
opcount 0.0218 0.0010 0.001 0.0199 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_write] · besu
nobs 264
R² 0.3078
coef (ms) 0.005808
p-value 1.00e-03
95% CI [0.004772, 0.006835]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.308
Model: NNLS Adj. R-squared: 0.305
No. Observations: 264 RMSE: 58.63
Df Residuals: 262 MAE: 53.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 322.7184 10.3144 0.001 302.7177 343.2816
opcount 0.0058 0.0005 0.001 0.0048 0.0068
==============================================================================
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 99
R² 0.9308
coef (ms) 0.001926
p-value 1.00e-03
95% CI [0.001801, 0.002044]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.930
No. Observations: 99 RMSE: 3.53
Df Residuals: 97 MAE: 2.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.4287 1.2657 0.001 33.1193 38.0748
opcount 0.0019 0.0001 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 176
R² 0.5683
coef (ms) 0.0003913
p-value 1.00e-03
95% CI [0.0003346, 0.0004448]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.568
Model: NNLS Adj. R-squared: 0.566
No. Observations: 176 RMSE: 2.30
Df Residuals: 174 MAE: 1.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.9758 0.6074 0.001 10.8132 13.2254
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · geth
nobs 165
R² 0.9669
coef (ms) 0.01044
p-value 1.00e-03
95% CI [0.01014, 0.01074]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 165 RMSE: 13.01
Df Residuals: 163 MAE: 10.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 333.1504 3.0073 0.001 327.3104 338.9768
opcount 0.0104 0.0002 0.001 0.0101 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 110
R² 0.4785
coef (ms) 0.001485
p-value 1.00e-03
95% CI [0.001249, 0.001743]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.478
Model: NNLS Adj. R-squared: 0.474
No. Observations: 110 RMSE: 10.44
Df Residuals: 108 MAE: 7.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.9233 2.7529 0.001 37.7152 48.2861
opcount 0.0015 0.0001 0.001 0.0012 0.0017
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · reth
nobs 198
R² 0.3328
coef (ms) 0.00032
p-value 1.00e-03
95% CI [0.0002644, 0.0003725]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.333
Model: NNLS Adj. R-squared: 0.329
No. Observations: 198 RMSE: 3.05
Df Residuals: 196 MAE: 1.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.2291 0.6166 0.001 8.0822 10.4881
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · besu
nobs 264
R² 0.7642
coef (ms) 0.0005033
p-value 1.00e-03
95% CI [0.0004678, 0.0005375]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.764
Model: NNLS Adj. R-squared: 0.763
No. Observations: 264 RMSE: 141.25
Df Residuals: 262 MAE: 114.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 688.6350 27.8527 0.001 634.5193 746.7386
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 99
R² 0.8501
coef (ms) 0.0002662
p-value 1.00e-03
95% CI [0.0002465, 0.000286]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.850
Model: NNLS Adj. R-squared: 0.849
No. Observations: 99 RMSE: 56.48
Df Residuals: 97 MAE: 39.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.0983 14.1771 0.003 11.0009 66.0879
opcount 0.0003 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 · ethrex
nobs 176
R² 0.9126
coef (ms) 9.915e-05
p-value 1.00e-03
95% CI [9.435e-05, 0.0001038]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.913
Model: NNLS Adj. R-squared: 0.912
No. Observations: 176 RMSE: 15.51
Df Residuals: 174 MAE: 12.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.7184 3.6502 0.001 33.8475 48.7376
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 165
R² 0.8995
coef (ms) 0.0001834
p-value 1.00e-03
95% CI [0.0001743, 0.0001927]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 165 RMSE: 30.98
Df Residuals: 163 MAE: 24.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.0897 7.0246 0.001 37.9006 65.5318
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 110
R² 0.7764
coef (ms) 0.0002241
p-value 1.00e-03
95% CI [0.000202, 0.0002487]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.776
Model: NNLS Adj. R-squared: 0.774
No. Observations: 110 RMSE: 60.77
Df Residuals: 108 MAE: 48.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 138.8988 17.4554 0.001 104.9335 172.3700
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 198
R² 0.9039
coef (ms) 5.645e-05
p-value 1.00e-03
95% CI [5.389e-05, 5.892e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.903
No. Observations: 198 RMSE: 9.30
Df Residuals: 196 MAE: 7.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.7830 2.2294 0.001 19.3795 28.2009
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 264
R² 0.7537
coef (ms) 0.01503
p-value 1.00e-03
95% CI [0.01404, 0.016]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.754
Model: NNLS Adj. R-squared: 0.753
No. Observations: 264 RMSE: 204.18
Df Residuals: 262 MAE: 188.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 582.4236 36.2482 0.001 512.3149 654.0137
opcount 0.0150 0.0005 0.001 0.0140 0.0160
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 99
R² 0.9795
coef (ms) 0.008973
p-value 1.00e-03
95% CI [0.008706, 0.009265]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.979
No. Observations: 99 RMSE: 30.82
Df Residuals: 97 MAE: 22.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.6860 10.1151 0.001 17.9286 58.2613
opcount 0.0090 0.0001 0.001 0.0087 0.0093
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · ethrex
nobs 176
R² 0.9812
coef (ms) 0.01766
p-value 1.00e-03
95% CI [0.01724, 0.01809]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 176 RMSE: 58.11
Df Residuals: 174 MAE: 51.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 168.2700 18.1421 0.001 132.5470 204.0217
opcount 0.0177 0.0002 0.001 0.0172 0.0181
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · geth
nobs 165
R² 0.9248
coef (ms) 0.01106
p-value 1.00e-03
95% CI [0.01049, 0.0116]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.924
No. Observations: 165 RMSE: 74.95
Df Residuals: 163 MAE: 60.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 408.0177 24.0481 0.001 362.3920 457.0383
opcount 0.0111 0.0003 0.001 0.0105 0.0116
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 110
R² 0.7731
coef (ms) 0.004773
p-value 1.00e-03
95% CI [0.004291, 0.005302]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.771
No. Observations: 110 RMSE: 61.47
Df Residuals: 108 MAE: 42.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 69.1822 17.7535 0.001 34.6042 104.2128
opcount 0.0048 0.0003 0.001 0.0043 0.0053
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 198
R² 0.9254
coef (ms) 0.001284
p-value 1.00e-03
95% CI [0.00123, 0.00134]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.925
Model: NNLS Adj. R-squared: 0.925
No. Observations: 198 RMSE: 8.67
Df Residuals: 196 MAE: 6.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.2555 2.0224 0.001 43.3750 51.3249
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 264
R² 0.7703
coef (ms) 0.01473
p-value 1.00e-03
95% CI [0.01377, 0.01566]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 264 RMSE: 191.25
Df Residuals: 262 MAE: 176.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 540.1483 35.3272 0.001 474.4453 606.9496
opcount 0.0147 0.0005 0.001 0.0138 0.0157
==============================================================================
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 99
R² 0.9779
coef (ms) 0.008617
p-value 1.00e-03
95% CI [0.008373, 0.008807]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 99 RMSE: 30.83
Df Residuals: 97 MAE: 22.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9182 7.4770 0.170 0.0000 25.3271
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 176
R² 0.9899
coef (ms) 0.002779
p-value 1.00e-03
95% CI [0.002736, 0.002817]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 176 RMSE: 6.67
Df Residuals: 174 MAE: 5.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.3479 1.4873 0.065 0.0000 5.5458
opcount 0.0028 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 165
R² 0.8709
coef (ms) 0.02259
p-value 1.00e-03
95% CI [0.02107, 0.02404]
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: 206.77
Df Residuals: 163 MAE: 174.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 697.0375 62.9080 0.001 573.1983 825.3101
opcount 0.0226 0.0007 0.001 0.0211 0.0240
==============================================================================
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 110
R² 0.867
coef (ms) 0.004453
p-value 1.00e-03
95% CI [0.004111, 0.004816]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 110 RMSE: 41.46
Df Residuals: 108 MAE: 29.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.3023 11.1225 0.001 27.3577 70.7257
opcount 0.0045 0.0002 0.001 0.0041 0.0048
==============================================================================
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 198
R² 0.9407
coef (ms) 0.000932
p-value 1.00e-03
95% CI [0.0008957, 0.000968]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.941
Model: NNLS Adj. R-squared: 0.940
No. Observations: 198 RMSE: 5.56
Df Residuals: 196 MAE: 4.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.6367 1.4407 0.001 46.9125 52.4886
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · besu
nobs 264
R² 0.8556
coef (ms) 0.02825
p-value 1.00e-03
95% CI [0.02696, 0.02958]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.855
No. Observations: 264 RMSE: 236.43
Df Residuals: 262 MAE: 218.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 475.2767 41.2087 0.001 395.5314 551.4153
opcount 0.0283 0.0007 0.001 0.0270 0.0296
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 99
R² 0.8801
coef (ms) 0.08141
p-value 1.00e-03
95% CI [0.07503, 0.08657]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.879
No. Observations: 99 RMSE: 612.06
Df Residuals: 97 MAE: 527.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 956.0480 213.7389 0.001 589.0310 1401.5287
opcount 0.0814 0.0028 0.001 0.0750 0.0866
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 176
R² 0.9803
coef (ms) 0.01823
p-value 1.00e-03
95% CI [0.01782, 0.01865]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.980
Model: NNLS Adj. R-squared: 0.980
No. Observations: 176 RMSE: 52.59
Df Residuals: 174 MAE: 47.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 143.6092 15.6555 0.001 114.0780 173.4434
opcount 0.0182 0.0002 0.001 0.0178 0.0187
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 165
R² 0.8663
coef (ms) 0.02367
p-value 1.00e-03
95% CI [0.02208, 0.02519]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.865
No. Observations: 165 RMSE: 189.43
Df Residuals: 163 MAE: 160.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 659.1511 58.2839 0.001 546.0432 778.8829
opcount 0.0237 0.0008 0.001 0.0221 0.0252
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 110
R² 0.6915
coef (ms) 0.01544
p-value 1.00e-03
95% CI [0.01385, 0.01719]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.691
Model: NNLS Adj. R-squared: 0.689
No. Observations: 110 RMSE: 210.15
Df Residuals: 108 MAE: 150.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 148.0141 50.8585 0.003 45.1290 245.8403
opcount 0.0154 0.0009 0.001 0.0139 0.0172
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 198
R² 0.814
coef (ms) 0.01999
p-value 1.00e-03
95% CI [0.01869, 0.02164]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.814
Model: NNLS Adj. R-squared: 0.813
No. Observations: 198 RMSE: 194.64
Df Residuals: 196 MAE: 101.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 215.7634 39.8694 0.001 129.2126 293.1565
opcount 0.0200 0.0007 0.001 0.0187 0.0216
==============================================================================
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 264
R² 0.7703
coef (ms) 0.01473
p-value 1.00e-03
95% CI [0.01377, 0.01566]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 264 RMSE: 191.25
Df Residuals: 262 MAE: 176.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 540.1483 35.3272 0.001 474.4453 606.9496
opcount 0.0147 0.0005 0.001 0.0138 0.0157
==============================================================================
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 99
R² 0.9779
coef (ms) 0.008617
p-value 1.00e-03
95% CI [0.008373, 0.008807]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.978
No. Observations: 99 RMSE: 30.83
Df Residuals: 97 MAE: 22.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9182 7.4770 0.170 0.0000 25.3271
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 176
R² 0.9899
coef (ms) 0.002779
p-value 1.00e-03
95% CI [0.002736, 0.002817]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 176 RMSE: 6.67
Df Residuals: 174 MAE: 5.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2.3479 1.4873 0.065 0.0000 5.5458
opcount 0.0028 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 165
R² 0.8709
coef (ms) 0.02259
p-value 1.00e-03
95% CI [0.02107, 0.02404]
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: 206.77
Df Residuals: 163 MAE: 174.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 697.0375 62.9080 0.001 573.1983 825.3101
opcount 0.0226 0.0007 0.001 0.0211 0.0240
==============================================================================
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 110
R² 0.867
coef (ms) 0.004453
p-value 1.00e-03
95% CI [0.004111, 0.004816]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 110 RMSE: 41.46
Df Residuals: 108 MAE: 29.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.3023 11.1225 0.001 27.3577 70.7257
opcount 0.0045 0.0002 0.001 0.0041 0.0048
==============================================================================
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 198
R² 0.9407
coef (ms) 0.000932
p-value 1.00e-03
95% CI [0.0008957, 0.000968]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.941
Model: NNLS Adj. R-squared: 0.940
No. Observations: 198 RMSE: 5.56
Df Residuals: 196 MAE: 4.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.6367 1.4407 0.001 46.9125 52.4886
opcount 0.0009 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · besu
nobs 264
R² 0.7968
coef (ms) 0.0004749
p-value 1.00e-03
95% CI [0.000444, 0.0005037]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.797
Model: NNLS Adj. R-squared: 0.796
No. Observations: 264 RMSE: 124.14
Df Residuals: 262 MAE: 95.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 609.7253 25.3846 0.001 561.0694 660.9153
opcount 0.0005 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · erigon
nobs 99
R² 0.883
coef (ms) 0.0002676
p-value 1.00e-03
95% CI [0.0002483, 0.0002864]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.882
No. Observations: 99 RMSE: 50.44
Df Residuals: 97 MAE: 39.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.5680 13.6731 0.001 15.1704 70.4054
opcount 0.0003 0.0000 0.001 0.0002 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · ethrex
nobs 176
R² 0.9326
coef (ms) 9.862e-05
p-value 1.00e-03
95% CI [9.443e-05, 0.000103]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.933
Model: NNLS Adj. R-squared: 0.932
No. Observations: 176 RMSE: 13.73
Df Residuals: 174 MAE: 11.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 37.4905 3.5876 0.001 30.3399 44.3732
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 165
R² 0.9076
coef (ms) 0.0001546
p-value 1.00e-03
95% CI [0.0001463, 0.0001616]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.908
Model: NNLS Adj. R-squared: 0.907
No. Observations: 165 RMSE: 25.54
Df Residuals: 163 MAE: 19.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.5525 6.1745 0.001 30.6387 55.0275
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 110
R² 0.5706
coef (ms) 0.0003456
p-value 1.00e-03
95% CI [0.0002787, 0.0003985]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.571
Model: NNLS Adj. R-squared: 0.567
No. Observations: 110 RMSE: 155.20
Df Residuals: 108 MAE: 126.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 235.9471 46.5068 0.001 154.7676 335.3888
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 198
R² 0.8997
coef (ms) 5.477e-05
p-value 1.00e-03
95% CI [5.226e-05, 5.72e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.900
Model: NNLS Adj. R-squared: 0.899
No. Observations: 198 RMSE: 9.46
Df Residuals: 196 MAE: 7.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 24.8278 2.3313 0.001 20.4742 29.5694
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 264
R² 0.5025
coef (ms) 0.0003395
p-value 1.00e-03
95% CI [0.0002959, 0.0003791]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.502
Model: NNLS Adj. R-squared: 0.501
No. Observations: 264 RMSE: 86.73
Df Residuals: 262 MAE: 70.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 249.3380 18.8599 0.001 215.0295 287.9160
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 99
R² 0.8631
coef (ms) 7.145e-05
p-value 1.00e-03
95% CI [6.531e-05, 7.754e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.862
No. Observations: 99 RMSE: 7.31
Df Residuals: 97 MAE: 5.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.5291 2.3986 0.001 20.7000 30.3215
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 176
R² 0.7614
coef (ms) 3.772e-05
p-value 1.00e-03
95% CI [3.48e-05, 4.115e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.761
Model: NNLS Adj. R-squared: 0.760
No. Observations: 176 RMSE: 5.42
Df Residuals: 174 MAE: 4.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.7971 1.2550 0.001 6.4209 11.1087
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 165
R² 0.9387
coef (ms) 0.0003497
p-value 1.00e-03
95% CI [0.0003352, 0.0003648]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.938
No. Observations: 165 RMSE: 22.94
Df Residuals: 163 MAE: 17.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.1647 5.8008 0.001 17.0357 39.4743
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 110
R² 0.7135
coef (ms) 0.0003276
p-value 1.00e-03
95% CI [0.0002866, 0.0003673]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.713
Model: NNLS Adj. R-squared: 0.711
No. Observations: 110 RMSE: 53.29
Df Residuals: 108 MAE: 40.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 128.9316 15.9047 0.001 96.5955 160.3973
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 198
R² 0.6072
coef (ms) 2.157e-05
p-value 1.00e-03
95% CI [1.93e-05, 2.411e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.607
Model: NNLS Adj. R-squared: 0.605
No. Observations: 198 RMSE: 4.45
Df Residuals: 196 MAE: 2.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.3576 0.8269 0.001 6.6678 9.9365
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 264
R² 0.4966
coef (ms) 0.001618
p-value 1.00e-03
95% CI [0.001413, 0.001834]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.497
Model: NNLS Adj. R-squared: 0.495
No. Observations: 264 RMSE: 160.89
Df Residuals: 262 MAE: 126.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 477.8221 35.2428 0.001 408.0519 547.7832
opcount 0.0016 0.0001 0.001 0.0014 0.0018
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 99
R² 0.8795
coef (ms) 0.0003106
p-value 1.00e-03
95% CI [0.0002872, 0.0003368]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.878
No. Observations: 99 RMSE: 11.36
Df Residuals: 97 MAE: 9.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.2992 3.6238 0.001 26.7903 41.0810
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 176
R² 0.8068
coef (ms) 0.0002188
p-value 1.00e-03
95% CI [0.0002035, 0.0002338]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.807
Model: NNLS Adj. R-squared: 0.806
No. Observations: 176 RMSE: 10.58
Df Residuals: 174 MAE: 8.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.3245 2.6169 0.001 17.4617 27.6108
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 165
R² 0.9026
coef (ms) 0.0007448
p-value 1.00e-03
95% CI [0.0007027, 0.0007854]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.903
Model: NNLS Adj. R-squared: 0.902
No. Observations: 165 RMSE: 24.17
Df Residuals: 163 MAE: 19.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5045 6.1819 0.001 37.1791 61.9773
opcount 0.0007 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 110
R² 0.7765
coef (ms) 0.001338
p-value 1.00e-03
95% CI [0.001208, 0.001464]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.777
Model: NNLS Adj. R-squared: 0.774
No. Observations: 110 RMSE: 70.90
Df Residuals: 108 MAE: 53.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 184.7944 19.0306 0.001 149.5447 223.2759
opcount 0.0013 0.0001 0.001 0.0012 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 198
R² 0.6866
coef (ms) 0.0001164
p-value 1.00e-03
95% CI [0.0001047, 0.0001268]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.687
Model: NNLS Adj. R-squared: 0.685
No. Observations: 198 RMSE: 7.77
Df Residuals: 196 MAE: 4.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.4017 1.8307 0.001 8.0493 15.2684
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 264
R² 0.5025
coef (ms) 0.0003395
p-value 1.00e-03
95% CI [0.0002959, 0.0003791]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.502
Model: NNLS Adj. R-squared: 0.501
No. Observations: 264 RMSE: 86.73
Df Residuals: 262 MAE: 70.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 249.3380 18.8599 0.001 215.0295 287.9160
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 99
R² 0.8631
coef (ms) 7.145e-05
p-value 1.00e-03
95% CI [6.531e-05, 7.754e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.862
No. Observations: 99 RMSE: 7.31
Df Residuals: 97 MAE: 5.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 25.5291 2.3986 0.001 20.7000 30.3215
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 176
R² 0.7614
coef (ms) 3.772e-05
p-value 1.00e-03
95% CI [3.48e-05, 4.115e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.761
Model: NNLS Adj. R-squared: 0.760
No. Observations: 176 RMSE: 5.42
Df Residuals: 174 MAE: 4.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.7971 1.2550 0.001 6.4209 11.1087
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 165
R² 0.9387
coef (ms) 0.0003497
p-value 1.00e-03
95% CI [0.0003352, 0.0003648]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.938
No. Observations: 165 RMSE: 22.94
Df Residuals: 163 MAE: 17.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.1647 5.8008 0.001 17.0357 39.4743
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 110
R² 0.7135
coef (ms) 0.0003276
p-value 1.00e-03
95% CI [0.0002866, 0.0003673]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.713
Model: NNLS Adj. R-squared: 0.711
No. Observations: 110 RMSE: 53.29
Df Residuals: 108 MAE: 40.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 128.9316 15.9047 0.001 96.5955 160.3973
opcount 0.0003 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 198
R² 0.6072
coef (ms) 2.157e-05
p-value 1.00e-03
95% CI [1.93e-05, 2.411e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.607
Model: NNLS Adj. R-squared: 0.605
No. Observations: 198 RMSE: 4.45
Df Residuals: 196 MAE: 2.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.3576 0.8269 0.001 6.6678 9.9365
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 264
R² 0.7748
coef (ms) 0.01309
p-value 1.00e-03
95% CI [0.01219, 0.014]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.774
No. Observations: 264 RMSE: 168.73
Df Residuals: 262 MAE: 155.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 511.6347 32.2358 0.001 451.8125 577.6156
opcount 0.0131 0.0005 0.001 0.0122 0.0140
==============================================================================
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 99
R² 0.9777
coef (ms) 0.00773
p-value 1.00e-03
95% CI [0.007531, 0.007813]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.977
No. Observations: 99 RMSE: 28.12
Df Residuals: 97 MAE: 21.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.5704 1.000 0.0000 12.5433
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 176
R² 0.9938
coef (ms) 0.002723
p-value 1.00e-03
95% CI [0.002692, 0.002733]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 176 RMSE: 5.13
Df Residuals: 174 MAE: 4.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.1163 0.7531 0.447 0.0000 2.5234
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
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 165
R² 0.8669
coef (ms) 0.02183
p-value 1.00e-03
95% CI [0.02043, 0.0232]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 165 RMSE: 204.49
Df Residuals: 163 MAE: 173.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 697.3215 63.0586 0.001 578.2226 825.0584
opcount 0.0218 0.0007 0.001 0.0204 0.0232
==============================================================================
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 110
R² 0.8407
coef (ms) 0.004016
p-value 1.00e-03
95% CI [0.003673, 0.004366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.839
No. Observations: 110 RMSE: 41.78
Df Residuals: 108 MAE: 32.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.8929 11.7623 0.001 26.8346 73.7999
opcount 0.0040 0.0002 0.001 0.0037 0.0044
==============================================================================
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 198
R² 0.9351
coef (ms) 0.0008879
p-value 1.00e-03
95% CI [0.0008549, 0.0009199]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.935
Model: NNLS Adj. R-squared: 0.935
No. Observations: 198 RMSE: 5.59
Df Residuals: 196 MAE: 4.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5082 1.2514 0.001 47.1738 52.0759
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · besu
nobs 264
R² 0.8404
coef (ms) 0.02594
p-value 1.00e-03
95% CI [0.02468, 0.02718]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.840
Model: NNLS Adj. R-squared: 0.840
No. Observations: 264 RMSE: 235.16
Df Residuals: 262 MAE: 213.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 482.9623 36.8059 0.001 410.7213 555.8800
opcount 0.0259 0.0006 0.001 0.0247 0.0272
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 99
R² 0.9141
coef (ms) 0.03404
p-value 1.00e-03
95% CI [0.03193, 0.03582]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.914
Model: NNLS Adj. R-squared: 0.913
No. Observations: 99 RMSE: 217.01
Df Residuals: 97 MAE: 189.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 267.4726 71.9679 0.001 137.6292 421.7700
opcount 0.0340 0.0010 0.001 0.0319 0.0358
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · ethrex
nobs 176
R² 0.9816
coef (ms) 0.01803
p-value 1.00e-03
95% CI [0.01755, 0.01846]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 176 RMSE: 51.34
Df Residuals: 174 MAE: 46.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 147.8411 16.2644 0.001 117.4367 181.2426
opcount 0.0180 0.0002 0.001 0.0175 0.0185
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · geth
nobs 165
R² 0.8558
coef (ms) 0.02316
p-value 1.00e-03
95% CI [0.02166, 0.02462]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.856
Model: NNLS Adj. R-squared: 0.855
No. Observations: 165 RMSE: 197.79
Df Residuals: 163 MAE: 166.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 673.8042 57.6042 0.001 566.7184 788.2240
opcount 0.0232 0.0008 0.001 0.0217 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 110
R² 0.7332
coef (ms) 0.01685
p-value 1.00e-03
95% CI [0.01593, 0.01763]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.733
Model: NNLS Adj. R-squared: 0.731
No. Observations: 110 RMSE: 228.11
Df Residuals: 108 MAE: 171.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 7.0259 1.000 0.0000 17.0754
opcount 0.0169 0.0004 0.001 0.0159 0.0176
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 198
R² 0.8186
coef (ms) 0.01849
p-value 1.00e-03
95% CI [0.01721, 0.01993]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.818
No. Observations: 198 RMSE: 181.14
Df Residuals: 196 MAE: 96.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 302.7654 43.8471 0.001 215.8331 389.9774
opcount 0.0185 0.0007 0.001 0.0172 0.0199
==============================================================================
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 264
R² 0.7748
coef (ms) 0.01309
p-value 1.00e-03
95% CI [0.01219, 0.014]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.774
No. Observations: 264 RMSE: 168.73
Df Residuals: 262 MAE: 155.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 511.6347 32.2358 0.001 451.8125 577.6156
opcount 0.0131 0.0005 0.001 0.0122 0.0140
==============================================================================
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 99
R² 0.9777
coef (ms) 0.00773
p-value 1.00e-03
95% CI [0.007531, 0.007813]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.977
No. Observations: 99 RMSE: 28.12
Df Residuals: 97 MAE: 21.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 3.5704 1.000 0.0000 12.5433
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 176
R² 0.9938
coef (ms) 0.002723
p-value 1.00e-03
95% CI [0.002692, 0.002733]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.994
Model: NNLS Adj. R-squared: 0.994
No. Observations: 176 RMSE: 5.13
Df Residuals: 174 MAE: 4.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.1163 0.7531 0.447 0.0000 2.5234
opcount 0.0027 0.0000 0.001 0.0027 0.0027
==============================================================================
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 165
R² 0.8669
coef (ms) 0.02183
p-value 1.00e-03
95% CI [0.02043, 0.0232]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.867
Model: NNLS Adj. R-squared: 0.866
No. Observations: 165 RMSE: 204.49
Df Residuals: 163 MAE: 173.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 697.3215 63.0586 0.001 578.2226 825.0584
opcount 0.0218 0.0007 0.001 0.0204 0.0232
==============================================================================
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 110
R² 0.8407
coef (ms) 0.004016
p-value 1.00e-03
95% CI [0.003673, 0.004366]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.841
Model: NNLS Adj. R-squared: 0.839
No. Observations: 110 RMSE: 41.78
Df Residuals: 108 MAE: 32.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.8929 11.7623 0.001 26.8346 73.7999
opcount 0.0040 0.0002 0.001 0.0037 0.0044
==============================================================================
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 198
R² 0.9351
coef (ms) 0.0008879
p-value 1.00e-03
95% CI [0.0008549, 0.0009199]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.935
Model: NNLS Adj. R-squared: 0.935
No. Observations: 198 RMSE: 5.59
Df Residuals: 196 MAE: 4.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5082 1.2514 0.001 47.1738 52.0759
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · besu
nobs 264
R² 0.5069
coef (ms) 0.0001149
p-value 1.00e-03
95% CI [0.000101, 0.0001268]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.507
Model: NNLS Adj. R-squared: 0.505
No. Observations: 264 RMSE: 66.28
Df Residuals: 262 MAE: 49.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 240.3788 13.7300 0.001 215.0459 268.2534
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · erigon
nobs 99
R² 0.9131
coef (ms) 0.0002855
p-value 1.00e-03
95% CI [0.0002694, 0.0003014]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.913
Model: NNLS Adj. R-squared: 0.912
No. Observations: 99 RMSE: 51.51
Df Residuals: 97 MAE: 40.81
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.3913 13.8483 0.003 12.3908 65.6289
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 176
R² 0.7618
coef (ms) 1.465e-05
p-value 1.00e-03
95% CI [1.335e-05, 1.59e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.762
Model: NNLS Adj. R-squared: 0.760
No. Observations: 176 RMSE: 4.79
Df Residuals: 174 MAE: 3.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.6282 1.1860 0.001 6.4799 11.0679
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 165
R² 0.8187
coef (ms) 3.889e-05
p-value 1.00e-03
95% CI [3.574e-05, 4.201e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.818
No. Observations: 165 RMSE: 10.70
Df Residuals: 163 MAE: 8.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.8976 2.7682 0.001 18.3749 29.3887
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 110
R² 0.6618
coef (ms) 0.0002405
p-value 1.00e-03
95% CI [0.0002047, 0.0002748]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.662
Model: NNLS Adj. R-squared: 0.659
No. Observations: 110 RMSE: 100.55
Df Residuals: 108 MAE: 81.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 145.3139 30.5414 0.001 86.4833 207.0918
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 198
R² 0.563
coef (ms) 1.178e-05
p-value 1.00e-03
95% CI [1.042e-05, 1.307e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.563
Model: NNLS Adj. R-squared: 0.561
No. Observations: 198 RMSE: 6.07
Df Residuals: 196 MAE: 4.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.9694 1.2294 0.001 4.6153 9.6145
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 264
R² 0.7704
coef (ms) 0.01287
p-value 1.00e-03
95% CI [0.01201, 0.01377]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 264 RMSE: 167.99
Df Residuals: 262 MAE: 155.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 529.6826 31.3574 0.001 466.5538 590.3832
opcount 0.0129 0.0004 0.001 0.0120 0.0138
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 99
R² 0.9787
coef (ms) 0.007836
p-value 1.00e-03
95% CI [0.007632, 0.007988]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.979
No. Observations: 99 RMSE: 27.60
Df Residuals: 97 MAE: 21.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.8529 6.9856 0.118 0.0000 24.2436
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 176
R² 0.9901
coef (ms) 0.002674
p-value 1.00e-03
95% CI [0.002636, 0.002712]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 176 RMSE: 6.39
Df Residuals: 174 MAE: 5.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.1321 1.4469 0.020 0.0833 5.9919
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 165
R² 0.8662
coef (ms) 0.02186
p-value 1.00e-03
95% CI [0.02052, 0.02322]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.865
No. Observations: 165 RMSE: 205.29
Df Residuals: 163 MAE: 175.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 693.6480 60.5985 0.001 577.7768 804.7619
opcount 0.0219 0.0007 0.001 0.0205 0.0232
==============================================================================
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 110
R² 0.8228
coef (ms) 0.003892
p-value 1.00e-03
95% CI [0.003573, 0.004251]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.821
No. Observations: 110 RMSE: 43.16
Df Residuals: 108 MAE: 32.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.6866 11.9269 0.001 29.8031 78.3695
opcount 0.0039 0.0002 0.001 0.0036 0.0043
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 198
R² 0.9398
coef (ms) 0.0008959
p-value 1.00e-03
95% CI [0.0008633, 0.0009265]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.939
No. Observations: 198 RMSE: 5.42
Df Residuals: 196 MAE: 4.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.3543 1.2478 0.001 46.9661 51.8494
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · besu
nobs 264
R² 0.8445
coef (ms) 0.02586
p-value 1.00e-03
95% CI [0.02463, 0.02722]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.845
Model: NNLS Adj. R-squared: 0.844
No. Observations: 264 RMSE: 230.88
Df Residuals: 262 MAE: 213.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 483.8038 39.3197 0.001 403.2381 563.8814
opcount 0.0259 0.0006 0.001 0.0246 0.0272
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 99
R² 0.8799
coef (ms) 0.08052
p-value 1.00e-03
95% CI [0.07429, 0.08591]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.879
No. Observations: 99 RMSE: 618.85
Df Residuals: 97 MAE: 530.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 981.6790 226.0744 0.001 562.8640 1460.2392
opcount 0.0805 0.0030 0.001 0.0743 0.0859
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · ethrex
nobs 176
R² 0.9821
coef (ms) 0.01808
p-value 1.00e-03
95% CI [0.0177, 0.01852]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.982
Model: NNLS Adj. R-squared: 0.982
No. Observations: 176 RMSE: 50.73
Df Residuals: 174 MAE: 45.11
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 145.1874 15.3456 0.001 113.2504 172.6337
opcount 0.0181 0.0002 0.001 0.0177 0.0185
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · geth
nobs 165
R² 0.87
coef (ms) 0.02314
p-value 1.00e-03
95% CI [0.02167, 0.02459]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.869
No. Observations: 165 RMSE: 186.09
Df Residuals: 163 MAE: 157.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 670.8374 53.6541 0.001 561.6291 775.6558
opcount 0.0231 0.0007 0.001 0.0217 0.0246
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 110
R² 0.6172
coef (ms) 0.01536
p-value 1.00e-03
95% CI [0.01305, 0.01704]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.617
Model: NNLS Adj. R-squared: 0.614
No. Observations: 110 RMSE: 251.75
Df Residuals: 108 MAE: 186.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.3403 62.6708 0.111 0.0000 213.2207
opcount 0.0154 0.0011 0.001 0.0130 0.0170
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 198
R² 0.7976
coef (ms) 0.01914
p-value 1.00e-03
95% CI [0.01764, 0.02087]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.798
Model: NNLS Adj. R-squared: 0.797
No. Observations: 198 RMSE: 200.53
Df Residuals: 196 MAE: 106.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 267.0705 47.3002 0.001 169.4499 356.4323
opcount 0.0191 0.0008 0.001 0.0176 0.0209
==============================================================================
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 264
R² 0.7704
coef (ms) 0.01287
p-value 1.00e-03
95% CI [0.01201, 0.01377]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 264 RMSE: 167.99
Df Residuals: 262 MAE: 155.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 529.6826 31.3574 0.001 466.5538 590.3832
opcount 0.0129 0.0004 0.001 0.0120 0.0138
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 99
R² 0.9787
coef (ms) 0.007836
p-value 1.00e-03
95% CI [0.007632, 0.007988]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.979
No. Observations: 99 RMSE: 27.60
Df Residuals: 97 MAE: 21.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.8529 6.9856 0.118 0.0000 24.2436
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 176
R² 0.9901
coef (ms) 0.002674
p-value 1.00e-03
95% CI [0.002636, 0.002712]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.990
Model: NNLS Adj. R-squared: 0.990
No. Observations: 176 RMSE: 6.39
Df Residuals: 174 MAE: 5.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.1321 1.4469 0.020 0.0833 5.9919
opcount 0.0027 0.0000 0.001 0.0026 0.0027
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 165
R² 0.8662
coef (ms) 0.02186
p-value 1.00e-03
95% CI [0.02052, 0.02322]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.866
Model: NNLS Adj. R-squared: 0.865
No. Observations: 165 RMSE: 205.29
Df Residuals: 163 MAE: 175.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 693.6480 60.5985 0.001 577.7768 804.7619
opcount 0.0219 0.0007 0.001 0.0205 0.0232
==============================================================================
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 110
R² 0.8228
coef (ms) 0.003892
p-value 1.00e-03
95% CI [0.003573, 0.004251]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.823
Model: NNLS Adj. R-squared: 0.821
No. Observations: 110 RMSE: 43.16
Df Residuals: 108 MAE: 32.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.6866 11.9269 0.001 29.8031 78.3695
opcount 0.0039 0.0002 0.001 0.0036 0.0043
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 198
R² 0.9398
coef (ms) 0.0008959
p-value 1.00e-03
95% CI [0.0008633, 0.0009265]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.940
Model: NNLS Adj. R-squared: 0.939
No. Observations: 198 RMSE: 5.42
Df Residuals: 196 MAE: 4.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.3543 1.2478 0.001 46.9661 51.8494
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · besu
nobs 264
R² 0.4924
coef (ms) 0.0001134
p-value 1.00e-03
95% CI [9.87e-05, 0.000128]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.492
Model: NNLS Adj. R-squared: 0.490
No. Observations: 264 RMSE: 67.33
Df Residuals: 262 MAE: 51.94
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 244.1851 15.4196 0.001 214.5590 275.3473
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_ext_account_query_warm · combo EXTCODESIZE · erigon
nobs 99
R² 0.9037
coef (ms) 4.43e-05
p-value 1.00e-03
95% CI [4.122e-05, 4.713e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.904
Model: NNLS Adj. R-squared: 0.903
No. Observations: 99 RMSE: 8.46
Df Residuals: 97 MAE: 6.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.6702 2.5567 0.001 19.0391 28.8071
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 176
R² 0.7421
coef (ms) 1.628e-05
p-value 1.00e-03
95% CI [1.492e-05, 1.776e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.742
Model: NNLS Adj. R-squared: 0.741
No. Observations: 176 RMSE: 5.61
Df Residuals: 174 MAE: 4.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2385 1.2464 0.001 3.8207 8.4952
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 165
R² 0.6819
coef (ms) 2.657e-05
p-value 1.00e-03
95% CI [2.364e-05, 2.962e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.682
Model: NNLS Adj. R-squared: 0.680
No. Observations: 165 RMSE: 10.61
Df Residuals: 163 MAE: 8.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 27.8690 3.1081 0.001 21.9392 33.7767
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 110
R² 0.7143
coef (ms) 0.0001861
p-value 1.00e-03
95% CI [0.0001692, 0.0002072]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.714
Model: NNLS Adj. R-squared: 0.712
No. Observations: 110 RMSE: 68.84
Df Residuals: 108 MAE: 53.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 100.2286 18.3435 0.001 61.1219 134.2470
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 198
R² 0.5278
coef (ms) 7.034e-06
p-value 1.00e-03
95% CI [6.197e-06, 7.751e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.528
Model: NNLS Adj. R-squared: 0.525
No. Observations: 198 RMSE: 3.89
Df Residuals: 196 MAE: 2.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 8.9055 0.7790 0.001 7.5466 10.5568
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 264
R² 0.7633
coef (ms) 0.01579
p-value 1.00e-03
95% CI [0.01476, 0.01677]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.763
Model: NNLS Adj. R-squared: 0.762
No. Observations: 264 RMSE: 208.95
Df Residuals: 262 MAE: 191.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 595.8079 37.5610 0.001 521.7559 668.4539
opcount 0.0158 0.0005 0.001 0.0148 0.0168
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 99
R² 0.9776
coef (ms) 0.00919
p-value 1.00e-03
95% CI [0.008955, 0.00944]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.978
Model: NNLS Adj. R-squared: 0.977
No. Observations: 99 RMSE: 33.08
Df Residuals: 97 MAE: 25.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 33.5497 8.9164 0.001 16.7652 50.8295
opcount 0.0092 0.0001 0.001 0.0090 0.0094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · ethrex
nobs 176
R² 0.9809
coef (ms) 0.01762
p-value 1.00e-03
95% CI [0.01722, 0.01804]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 176 RMSE: 58.38
Df Residuals: 174 MAE: 51.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 171.8687 17.1752 0.001 139.8256 206.3070
opcount 0.0176 0.0002 0.001 0.0172 0.0180
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · geth
nobs 165
R² 0.9232
coef (ms) 0.01119
p-value 1.00e-03
95% CI [0.01066, 0.01178]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.923
Model: NNLS Adj. R-squared: 0.923
No. Observations: 165 RMSE: 76.71
Df Residuals: 163 MAE: 62.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 404.3279 24.4029 0.001 355.6605 448.1176
opcount 0.0112 0.0003 0.001 0.0107 0.0118
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 110
R² 0.8512
coef (ms) 0.004896
p-value 1.00e-03
95% CI [0.00448, 0.005346]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.851
Model: NNLS Adj. R-squared: 0.850
No. Observations: 110 RMSE: 48.67
Df Residuals: 108 MAE: 35.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 51.9620 16.3473 0.001 19.5407 82.5969
opcount 0.0049 0.0002 0.001 0.0045 0.0053
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 198
R² 0.921
coef (ms) 0.001292
p-value 1.00e-03
95% CI [0.001236, 0.001344]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.921
Model: NNLS Adj. R-squared: 0.921
No. Observations: 198 RMSE: 9.00
Df Residuals: 196 MAE: 7.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.9405 1.9629 0.001 44.4935 52.2733
opcount 0.0013 0.0000 0.001 0.0012 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 264
R² 0.7784
coef (ms) 0.01586
p-value 1.00e-03
95% CI [0.01492, 0.01686]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.778
No. Observations: 264 RMSE: 201.15
Df Residuals: 262 MAE: 185.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 532.9396 35.9002 0.001 463.5838 602.9835
opcount 0.0159 0.0005 0.001 0.0149 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 99
R² 0.9828
coef (ms) 0.01084
p-value 1.00e-03
95% CI [0.01062, 0.01094]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 99 RMSE: 34.23
Df Residuals: 97 MAE: 26.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 4.6358 1.000 0.0000 16.0163
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 176
R² 0.9914
coef (ms) 0.002747
p-value 1.00e-03
95% CI [0.002709, 0.002788]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 176 RMSE: 6.08
Df Residuals: 174 MAE: 4.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.8091 1.4450 0.004 0.9291 6.6312
opcount 0.0027 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 165
R² 0.8683
coef (ms) 0.02288
p-value 1.00e-03
95% CI [0.02134, 0.02444]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 165 RMSE: 211.87
Df Residuals: 163 MAE: 182.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 707.6975 66.3543 0.001 575.9570 836.2680
opcount 0.0229 0.0008 0.001 0.0213 0.0244
==============================================================================
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 110
R² 0.795
coef (ms) 0.00442
p-value 1.00e-03
95% CI [0.00407, 0.004793]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.793
No. Observations: 110 RMSE: 53.36
Df Residuals: 108 MAE: 37.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.9685 13.1062 0.001 38.1870 89.9251
opcount 0.0044 0.0002 0.001 0.0041 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 198
R² 0.9389
coef (ms) 0.000957
p-value 1.00e-03
95% CI [0.0009202, 0.0009928]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 198 RMSE: 5.81
Df Residuals: 196 MAE: 4.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.7386 1.4410 0.001 47.0267 52.6232
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · besu
nobs 264
R² 0.8748
coef (ms) 0.02795
p-value 1.00e-03
95% CI [0.02672, 0.02928]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.874
No. Observations: 264 RMSE: 215.39
Df Residuals: 262 MAE: 195.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 497.4344 38.1410 0.001 422.0878 568.9824
opcount 0.0280 0.0006 0.001 0.0267 0.0293
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 99
R² 0.8808
coef (ms) 0.08159
p-value 1.00e-03
95% CI [0.07603, 0.08702]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.881
Model: NNLS Adj. R-squared: 0.880
No. Observations: 99 RMSE: 611.54
Df Residuals: 97 MAE: 526.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 950.1206 215.9383 0.001 539.7654 1388.0477
opcount 0.0816 0.0029 0.001 0.0760 0.0870
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · ethrex
nobs 176
R² 0.9814
coef (ms) 0.01821
p-value 1.00e-03
95% CI [0.01781, 0.01866]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 176 RMSE: 51.02
Df Residuals: 174 MAE: 45.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 145.1313 15.2461 0.001 114.1801 173.8724
opcount 0.0182 0.0002 0.001 0.0178 0.0187
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 165
R² 0.8634
coef (ms) 0.02364
p-value 1.00e-03
95% CI [0.02212, 0.0253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.863
Model: NNLS Adj. R-squared: 0.863
No. Observations: 165 RMSE: 191.50
Df Residuals: 163 MAE: 161.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 661.0172 57.6379 0.001 544.5736 773.1863
opcount 0.0236 0.0008 0.001 0.0221 0.0253
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 110
R² 0.7459
coef (ms) 0.01498
p-value 1.00e-03
95% CI [0.01346, 0.01678]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.746
Model: NNLS Adj. R-squared: 0.744
No. Observations: 110 RMSE: 178.14
Df Residuals: 108 MAE: 112.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 131.2481 49.1656 0.007 32.7945 229.9079
opcount 0.0150 0.0008 0.001 0.0135 0.0168
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 198
R² 0.7018
coef (ms) 0.02058
p-value 1.00e-03
95% CI [0.01875, 0.0227]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.702
Model: NNLS Adj. R-squared: 0.700
No. Observations: 198 RMSE: 273.35
Df Residuals: 196 MAE: 192.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 242.7234 59.5989 0.001 126.9508 351.9103
opcount 0.0206 0.0011 0.001 0.0187 0.0227
==============================================================================
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 264
R² 0.7784
coef (ms) 0.01586
p-value 1.00e-03
95% CI [0.01492, 0.01686]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.778
Model: NNLS Adj. R-squared: 0.778
No. Observations: 264 RMSE: 201.15
Df Residuals: 262 MAE: 185.67
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 532.9396 35.9002 0.001 463.5838 602.9835
opcount 0.0159 0.0005 0.001 0.0149 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 99
R² 0.9828
coef (ms) 0.01084
p-value 1.00e-03
95% CI [0.01062, 0.01094]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.983
Model: NNLS Adj. R-squared: 0.983
No. Observations: 99 RMSE: 34.23
Df Residuals: 97 MAE: 26.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 4.6358 1.000 0.0000 16.0163
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 176
R² 0.9914
coef (ms) 0.002747
p-value 1.00e-03
95% CI [0.002709, 0.002788]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.991
Model: NNLS Adj. R-squared: 0.991
No. Observations: 176 RMSE: 6.08
Df Residuals: 174 MAE: 4.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 3.8091 1.4450 0.004 0.9291 6.6312
opcount 0.0027 0.0000 0.001 0.0027 0.0028
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 165
R² 0.8683
coef (ms) 0.02288
p-value 1.00e-03
95% CI [0.02134, 0.02444]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.868
Model: NNLS Adj. R-squared: 0.867
No. Observations: 165 RMSE: 211.87
Df Residuals: 163 MAE: 182.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 707.6975 66.3543 0.001 575.9570 836.2680
opcount 0.0229 0.0008 0.001 0.0213 0.0244
==============================================================================
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 110
R² 0.795
coef (ms) 0.00442
p-value 1.00e-03
95% CI [0.00407, 0.004793]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.793
No. Observations: 110 RMSE: 53.36
Df Residuals: 108 MAE: 37.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.9685 13.1062 0.001 38.1870 89.9251
opcount 0.0044 0.0002 0.001 0.0041 0.0048
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 198
R² 0.9389
coef (ms) 0.000957
p-value 1.00e-03
95% CI [0.0009202, 0.0009928]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 198 RMSE: 5.81
Df Residuals: 196 MAE: 4.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.7386 1.4410 0.001 47.0267 52.6232
opcount 0.0010 0.0000 0.001 0.0009 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · besu
nobs 264
R² 0.795
coef (ms) 0.0004579
p-value 1.00e-03
95% CI [0.000428, 0.0004874]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.795
Model: NNLS Adj. R-squared: 0.794
No. Observations: 264 RMSE: 120.37
Df Residuals: 262 MAE: 94.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 609.8942 23.9343 0.001 564.7641 655.5895
opcount 0.0005 0.0000 0.001 0.0004 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · erigon
nobs 99
R² 0.8977
coef (ms) 0.0004912
p-value 1.00e-03
95% CI [0.0004561, 0.00052]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.897
No. Observations: 99 RMSE: 85.86
Df Residuals: 97 MAE: 67.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 35.5838 24.2751 0.084 0.0000 87.9077
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 176
R² 0.9428
coef (ms) 9.846e-05
p-value 1.00e-03
95% CI [9.451e-05, 0.0001021]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.943
Model: NNLS Adj. R-squared: 0.942
No. Observations: 176 RMSE: 12.56
Df Residuals: 174 MAE: 9.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.6736 3.0819 0.001 37.1913 48.9851
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 165
R² 0.9008
coef (ms) 0.0001833
p-value 1.00e-03
95% CI [0.0001732, 0.0001934]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.900
No. Observations: 165 RMSE: 31.49
Df Residuals: 163 MAE: 23.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 47.3046 7.9320 0.001 32.1838 63.1703
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 110
R² 0.6837
coef (ms) 0.0003556
p-value 1.00e-03
95% CI [0.0003109, 0.0003992]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.684
Model: NNLS Adj. R-squared: 0.681
No. Observations: 110 RMSE: 125.18
Df Residuals: 108 MAE: 100.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 165.1387 33.0274 0.001 103.9596 230.8952
opcount 0.0004 0.0000 0.001 0.0003 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · reth
nobs 198
R² 0.8946
coef (ms) 5.653e-05
p-value 1.00e-03
95% CI [5.396e-05, 5.924e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.894
No. Observations: 198 RMSE: 10.04
Df Residuals: 196 MAE: 7.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.1823 2.2128 0.001 17.8118 26.6179
opcount 0.0001 0.0000 0.001 0.0001 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================