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 286
R² 0.9237
coef (ms) 0.008679
p-value 1.00e-03
95% CI [0.008388, 0.00897]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.924
Model: NNLS Adj. R-squared: 0.923
No. Observations: 286 RMSE: 73.44
Df Residuals: 284 MAE: 56.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 161.2454 12.6120 0.001 136.7350 186.2127
opcount 0.0087 0.0001 0.001 0.0084 0.0090
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · erigon
nobs 418
R² 0.9956
coef (ms) 0.006218
p-value 1.00e-03
95% CI [0.006178, 0.006256]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 12.17
Df Residuals: 416 MAE: 9.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.8972 1.7007 0.001 14.7454 21.4000
opcount 0.0062 0.0000 0.001 0.0062 0.0063
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · geth
nobs 561
R² 0.732
coef (ms) 0.1558
p-value 1.00e-03
95% CI [0.148, 0.1634]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.732
Model: NNLS Adj. R-squared: 0.732
No. Observations: 561 RMSE: 2773.65
Df Residuals: 559 MAE: 2553.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2712.9320 327.4943 0.001 2073.9982 3350.0504
opcount 0.1558 0.0040 0.001 0.1480 0.1634
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · nethermind
nobs 682
R² 0.8193
coef (ms) 0.003777
p-value 1.00e-03
95% CI [0.003645, 0.003917]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.819
Model: NNLS Adj. R-squared: 0.819
No. Observations: 682 RMSE: 52.21
Df Residuals: 680 MAE: 42.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 129.9899 5.8651 0.001 118.2574 141.3187
opcount 0.0038 0.0001 0.001 0.0036 0.0039
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo False · reth
nobs 1056
R² 0.947
coef (ms) 0.001299
p-value 1.00e-03
95% CI [0.001279, 0.001318]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.947
Model: NNLS Adj. R-squared: 0.947
No. Observations: 1056 RMSE: 9.05
Df Residuals: 1054 MAE: 6.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 39.5671 1.0828 0.001 37.5597 41.6825
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · besu
nobs 286
R² 0.8741
coef (ms) 0.01965
p-value 1.00e-03
95% CI [0.01868, 0.02055]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.874
Model: NNLS Adj. R-squared: 0.874
No. Observations: 286 RMSE: 219.42
Df Residuals: 284 MAE: 169.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 462.0781 40.5182 0.001 385.1484 546.8667
opcount 0.0196 0.0005 0.001 0.0187 0.0206
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · erigon
nobs 418
R² 0.9882
coef (ms) 0.005783
p-value 1.00e-03
95% CI [0.005728, 0.00584]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.988
Model: NNLS Adj. R-squared: 0.988
No. Observations: 418 RMSE: 18.63
Df Residuals: 416 MAE: 15.78
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 26.9169 2.7597 0.001 21.3989 32.2661
opcount 0.0058 0.0000 0.001 0.0057 0.0058
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · geth
nobs 561
R² 0.7063
coef (ms) 0.1491
p-value 1.00e-03
95% CI [0.1412, 0.157]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.706
Model: NNLS Adj. R-squared: 0.706
No. Observations: 561 RMSE: 2829.03
Df Residuals: 559 MAE: 2536.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2783.6178 325.5915 0.001 2163.1304 3425.7170
opcount 0.1491 0.0040 0.001 0.1412 0.1570
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · nethermind
nobs 682
R² 0.469
coef (ms) 0.02223
p-value 1.00e-03
95% CI [0.02048, 0.02403]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.469
Model: NNLS Adj. R-squared: 0.468
No. Observations: 682 RMSE: 696.08
Df Residuals: 680 MAE: 615.75
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1386.7932 82.8999 0.001 1221.8237 1544.9483
opcount 0.0222 0.0009 0.001 0.0205 0.0240
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_sload_bloated · combo True · reth
nobs 1056
R² 0.9682
coef (ms) 0.001454
p-value 1.00e-03
95% CI [0.001438, 0.001471]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.968
Model: NNLS Adj. R-squared: 0.968
No. Observations: 1056 RMSE: 7.76
Df Residuals: 1054 MAE: 5.99
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.5400 0.7122 0.001 28.0631 30.8418
opcount 0.0015 0.0000 0.001 0.0014 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · besu
nobs 572
R² 0.6146
coef (ms) 0.0001202
p-value 1.00e-03
95% CI [0.0001124, 0.0001279]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.615
Model: NNLS Adj. R-squared: 0.614
No. Observations: 572 RMSE: 60.13
Df Residuals: 570 MAE: 46.19
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 117.1462 7.9426 0.001 101.5263 132.6318
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 836
R² 0.8589
coef (ms) 5.021e-05
p-value 1.00e-03
95% CI [4.876e-05, 5.165e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.859
Model: NNLS Adj. R-squared: 0.859
No. Observations: 836 RMSE: 12.85
Df Residuals: 834 MAE: 9.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.6993 1.3347 0.001 34.1760 39.2963
opcount 0.0001 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 · geth
nobs 1122
R² 0.9812
coef (ms) 0.0002154
p-value 1.00e-03
95% CI [0.0002135, 0.0002172]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 1122 RMSE: 18.81
Df Residuals: 1120 MAE: 14.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13.1431 1.7426 0.001 9.7495 16.6272
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · nethermind
nobs 1364
R² 0.6883
coef (ms) 0.0001661
p-value 1.00e-03
95% CI [0.0001594, 0.000172]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.688
Model: NNLS Adj. R-squared: 0.688
No. Observations: 1364 RMSE: 70.58
Df Residuals: 1362 MAE: 56.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 97.0840 5.7093 0.001 86.1547 109.0415
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SLOAD · test_storage_sload_same_key_benchmark · reth
nobs 2112
R² 0.6868
coef (ms) 5.23e-06
p-value 1.00e-03
95% CI [5.086e-06, 5.379e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.687
Model: NNLS Adj. R-squared: 0.687
No. Observations: 2112 RMSE: 2.23
Df Residuals: 2110 MAE: 1.59
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.4808 0.1498 0.001 5.1982 5.7654
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 286
R² 0.8213
coef (ms) 0.009797
p-value 1.00e-03
95% CI [0.009256, 0.01033]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.821
Model: NNLS Adj. R-squared: 0.821
No. Observations: 286 RMSE: 129.15
Df Residuals: 284 MAE: 99.21
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 458.8944 21.4152 0.001 417.8417 500.2840
opcount 0.0098 0.0003 0.001 0.0093 0.0103
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · erigon
nobs 418
R² 0.9951
coef (ms) 0.006176
p-value 1.00e-03
95% CI [0.006132, 0.006221]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 12.31
Df Residuals: 416 MAE: 9.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.6528 1.8173 0.001 17.1461 24.1990
opcount 0.0062 0.0000 0.001 0.0061 0.0062
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · geth
nobs 561
R² 0.6975
coef (ms) 0.03761
p-value 1.00e-03
95% CI [0.03563, 0.03978]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.698
Model: NNLS Adj. R-squared: 0.697
No. Observations: 561 RMSE: 699.90
Df Residuals: 559 MAE: 596.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1130.8928 86.3186 0.001 952.0515 1294.8603
opcount 0.0376 0.0011 0.001 0.0356 0.0398
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · nethermind
nobs 682
R² 0.8526
coef (ms) 0.003844
p-value 1.00e-03
95% CI [0.003726, 0.003967]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.853
Model: NNLS Adj. R-squared: 0.852
No. Observations: 682 RMSE: 45.18
Df Residuals: 680 MAE: 36.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 116.2859 5.0264 0.001 106.5099 126.3000
opcount 0.0038 0.0001 0.001 0.0037 0.0040
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_access] · reth
nobs 1056
R² 0.945
coef (ms) 0.001309
p-value 1.00e-03
95% CI [0.001289, 0.001328]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.945
Model: NNLS Adj. R-squared: 0.945
No. Observations: 1056 RMSE: 8.93
Df Residuals: 1054 MAE: 7.05
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.1828 0.9409 0.001 40.3713 44.0988
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · besu
nobs 286
R² 0.8481
coef (ms) 0.02029
p-value 1.00e-03
95% CI [0.0192, 0.02137]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.848
Model: NNLS Adj. R-squared: 0.848
No. Observations: 286 RMSE: 242.70
Df Residuals: 284 MAE: 194.70
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 689.3695 45.2958 0.001 597.9227 780.8373
opcount 0.0203 0.0005 0.001 0.0192 0.0214
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · erigon
nobs 418
R² 0.9806
coef (ms) 0.005716
p-value 1.00e-03
95% CI [0.005645, 0.005787]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.981
Model: NNLS Adj. R-squared: 0.981
No. Observations: 418 RMSE: 22.72
Df Residuals: 416 MAE: 19.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 28.5961 3.2392 0.001 22.2999 35.1155
opcount 0.0057 0.0000 0.001 0.0056 0.0058
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · geth
nobs 561
R² 0.5996
coef (ms) 0.03228
p-value 1.00e-03
95% CI [0.02999, 0.03452]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.600
Model: NNLS Adj. R-squared: 0.599
No. Observations: 561 RMSE: 745.44
Df Residuals: 559 MAE: 615.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1462.0408 94.8397 0.001 1278.8845 1644.6507
opcount 0.0323 0.0012 0.001 0.0300 0.0345
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · nethermind
nobs 682
R² 0.509
coef (ms) 0.02385
p-value 1.00e-03
95% CI [0.02223, 0.02567]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.509
Model: NNLS Adj. R-squared: 0.508
No. Observations: 682 RMSE: 661.85
Df Residuals: 680 MAE: 575.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1235.5336 78.1593 0.001 1084.6210 1384.2028
opcount 0.0238 0.0009 0.001 0.0222 0.0257
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_access] · reth
nobs 1056
R² 0.9691
coef (ms) 0.001491
p-value 1.00e-03
95% CI [0.001473, 0.001508]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 1056 RMSE: 7.52
Df Residuals: 1054 MAE: 5.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 29.1922 0.7529 0.001 27.7199 30.6344
opcount 0.0015 0.0000 0.001 0.0015 0.0015
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · besu
nobs 286
R² 0.1801
coef (ms) 0.132
p-value 1.00e-03
95% CI [0.1015, 0.1626]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.180
Model: NNLS Adj. R-squared: 0.177
No. Observations: 286 RMSE: 172.96
Df Residuals: 284 MAE: 147.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 526.6398 27.9900 0.001 469.2246 580.1065
opcount 0.1320 0.0154 0.001 0.1015 0.1626
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · erigon
nobs 418
R² 0.734
coef (ms) 1.115
p-value 1.00e-03
95% CI [1.048, 1.178]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.734
Model: NNLS Adj. R-squared: 0.733
No. Observations: 418 RMSE: 412.14
Df Residuals: 416 MAE: 358.80
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2750.8638 73.3621 0.001 2614.1881 2901.2119
opcount 1.1147 0.0315 0.001 1.0480 1.1776
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · geth
nobs 561
R² 0.7759
coef (ms) 0.4634
p-value 1.00e-03
95% CI [0.4411, 0.4851]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.776
Model: NNLS Adj. R-squared: 0.775
No. Observations: 561 RMSE: 152.96
Df Residuals: 559 MAE: 123.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 128.4397 19.2097 0.001 92.0270 166.6872
opcount 0.4634 0.0110 0.001 0.4411 0.4851
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · nethermind
nobs 682
R² 0.2978
coef (ms) 0.05534
p-value 1.00e-03
95% CI [0.04976, 0.06107]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.298
Model: NNLS Adj. R-squared: 0.297
No. Observations: 682 RMSE: 52.19
Df Residuals: 680 MAE: 42.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 145.5018 6.2297 0.001 134.0227 157.4257
opcount 0.0553 0.0030 0.001 0.0498 0.0611
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo False` — `presets[cold_storage_sstore_write] · reth
nobs 1056
R² 0.006533
coef (ms) 0.008868
p-value 1.50e-02
95% CI [0.0004736, 0.01751]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.007
Model: NNLS Adj. R-squared: 0.006
No. Observations: 1056 RMSE: 67.16
Df Residuals: 1054 MAE: 50.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 303.0290 9.9245 0.001 282.9531 321.9767
opcount 0.0089 0.0043 0.015 0.0005 0.0175
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · besu
nobs 286
R² 0.9505
coef (ms) 0.1099
p-value 1.00e-03
95% CI [0.107, 0.113]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 286 RMSE: 314.28
Df Residuals: 284 MAE: 249.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 938.9117 63.6371 0.001 817.2899 1058.0365
opcount 0.1099 0.0016 0.001 0.1070 0.1130
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · erigon
nobs 418
R² 0.9949
coef (ms) 0.5711
p-value 1.00e-03
95% CI [0.5668, 0.5755]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 513.10
Df Residuals: 416 MAE: 392.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5727.9907 74.4477 0.001 5578.5104 5879.0917
opcount 0.5711 0.0021 0.001 0.5668 0.5755
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · geth
nobs 561
R² 0.9381
coef (ms) 0.1072
p-value 1.00e-03
95% CI [0.105, 0.1094]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 561 RMSE: 344.73
Df Residuals: 559 MAE: 276.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 840.3130 42.5078 0.001 756.5058 920.8568
opcount 0.1072 0.0012 0.001 0.1050 0.1094
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · nethermind
nobs 682
R² 0.651
coef (ms) 0.06179
p-value 1.00e-03
95% CI [0.05831, 0.065]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.651
Model: NNLS Adj. R-squared: 0.650
No. Observations: 682 RMSE: 566.54
Df Residuals: 680 MAE: 467.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 828.7944 64.0221 0.001 710.2904 957.8192
opcount 0.0618 0.0018 0.001 0.0583 0.0650
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================SSTORE · test_sstore_bloated · combo True` — `presets[cold_storage_sstore_write] · reth
nobs 1056
R² 0.9933
coef (ms) 0.1472
p-value 1.00e-03
95% CI [0.1464, 0.148]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.993
Model: NNLS Adj. R-squared: 0.993
No. Observations: 1056 RMSE: 151.17
Df Residuals: 1054 MAE: 120.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1304.4393 14.9334 0.001 1273.8391 1332.7068
opcount 0.1472 0.0004 0.001 0.1464 0.1480
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · besu
nobs 286
R² 0.6401
coef (ms) 0.01768
p-value 1.00e-03
95% CI [0.01603, 0.01933]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.640
Model: NNLS Adj. R-squared: 0.639
No. Observations: 286 RMSE: 316.75
Df Residuals: 284 MAE: 236.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 383.7500 57.8061 0.001 269.8517 494.4449
opcount 0.0177 0.0008 0.001 0.0160 0.0193
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · erigon
nobs 418
R² 0.9955
coef (ms) 0.009916
p-value 1.00e-03
95% CI [0.009855, 0.009982]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 15.91
Df Residuals: 416 MAE: 12.56
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8878 2.2641 0.001 27.2408 36.0670
opcount 0.0099 0.0000 0.001 0.0099 0.0100
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · geth
nobs 561
R² 0.6608
coef (ms) 0.0113
p-value 1.00e-03
95% CI [0.01063, 0.01197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.661
Model: NNLS Adj. R-squared: 0.660
No. Observations: 561 RMSE: 193.46
Df Residuals: 559 MAE: 162.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 524.7151 26.3305 0.001 469.6947 575.4908
opcount 0.0113 0.0003 0.001 0.0106 0.0120
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · nethermind
nobs 682
R² 0.749
coef (ms) 0.004967
p-value 1.00e-03
95% CI [0.004731, 0.005183]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.749
Model: NNLS Adj. R-squared: 0.749
No. Observations: 682 RMSE: 68.73
Df Residuals: 680 MAE: 52.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.5620 7.6070 0.001 36.1407 64.8940
opcount 0.0050 0.0001 0.001 0.0047 0.0052
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_EOA · reth
nobs 1056
R² 0.9755
coef (ms) 0.001092
p-value 1.00e-03
95% CI [0.001082, 0.001104]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 1056 RMSE: 4.13
Df Residuals: 1054 MAE: 3.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.7664 0.4441 0.001 30.8985 32.5988
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 286
R² 0.8583
coef (ms) 0.01085
p-value 1.00e-03
95% CI [0.01032, 0.01141]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 286 RMSE: 105.40
Df Residuals: 284 MAE: 86.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 374.8198 21.5301 0.001 330.7917 416.0005
opcount 0.0109 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.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 418
R² 0.9956
coef (ms) 0.009141
p-value 1.00e-03
95% CI [0.009083, 0.009197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 14.45
Df Residuals: 416 MAE: 11.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.7861 2.1275 0.002 1.6130 10.0649
opcount 0.0091 0.0000 0.001 0.0091 0.0092
==============================================================================
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 561
R² 0.5552
coef (ms) 0.02944
p-value 1.00e-03
95% CI [0.02726, 0.03173]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.555
Model: NNLS Adj. R-squared: 0.554
No. Observations: 561 RMSE: 629.67
Df Residuals: 559 MAE: 511.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1520.2162 82.8407 0.001 1356.3773 1678.4405
opcount 0.0294 0.0011 0.001 0.0273 0.0317
==============================================================================
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 682
R² 0.757
coef (ms) 0.004563
p-value 1.00e-03
95% CI [0.004375, 0.004769]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.757
No. Observations: 682 RMSE: 61.79
Df Residuals: 680 MAE: 47.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.1813 6.7663 0.001 44.9972 70.5402
opcount 0.0046 0.0001 0.001 0.0044 0.0048
==============================================================================
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 1056
R² 0.9715
coef (ms) 0.0009166
p-value 1.00e-03
95% CI [0.0009067, 0.0009257]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1056 RMSE: 3.75
Df Residuals: 1054 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8838 0.3819 0.001 31.1985 32.6860
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · besu
nobs 286
R² 0.8861
coef (ms) 0.0308
p-value 1.00e-03
95% CI [0.02937, 0.03211]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.886
Model: NNLS Adj. R-squared: 0.886
No. Observations: 286 RMSE: 229.69
Df Residuals: 284 MAE: 182.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 472.2463 44.5780 0.001 386.6881 558.3061
opcount 0.0308 0.0007 0.001 0.0294 0.0321
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · erigon
nobs 418
R² 0.8955
coef (ms) 0.03619
p-value 1.00e-03
95% CI [0.03497, 0.03725]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.895
No. Observations: 418 RMSE: 257.24
Df Residuals: 416 MAE: 216.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 441.3811 43.3037 0.001 363.5905 533.7210
opcount 0.0362 0.0006 0.001 0.0350 0.0372
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · geth
nobs 561
R² 0.6498
coef (ms) 0.03565
p-value 1.00e-03
95% CI [0.03313, 0.03786]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.650
Model: NNLS Adj. R-squared: 0.649
No. Observations: 561 RMSE: 544.54
Df Residuals: 559 MAE: 452.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1245.6960 73.7741 0.001 1104.9690 1402.1920
opcount 0.0357 0.0012 0.001 0.0331 0.0379
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 682
R² 0.7871
coef (ms) 0.01997
p-value 1.00e-03
95% CI [0.01921, 0.02073]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.787
Model: NNLS Adj. R-squared: 0.787
No. Observations: 682 RMSE: 216.08
Df Residuals: 680 MAE: 151.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.2324 23.8131 0.001 170.9256 267.5567
opcount 0.0200 0.0004 0.001 0.0192 0.0207
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_account_access · combo BALANCE_AccountMode.EXISTING_CONTRACT · reth
nobs 1056
R² 0.779
coef (ms) 0.03047
p-value 1.00e-03
95% CI [0.02942, 0.03146]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.779
Model: NNLS Adj. R-squared: 0.779
No. Observations: 1056 RMSE: 337.65
Df Residuals: 1054 MAE: 233.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 660.7516 36.3522 0.001 592.0961 734.3853
opcount 0.0305 0.0005 0.001 0.0294 0.0315
==============================================================================
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 286
R² 0.8583
coef (ms) 0.01085
p-value 1.00e-03
95% CI [0.01032, 0.01141]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 286 RMSE: 105.40
Df Residuals: 284 MAE: 86.82
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 374.8198 21.5301 0.001 330.7917 416.0005
opcount 0.0109 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.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 418
R² 0.9956
coef (ms) 0.009141
p-value 1.00e-03
95% CI [0.009083, 0.009197]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 14.45
Df Residuals: 416 MAE: 11.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.7861 2.1275 0.002 1.6130 10.0649
opcount 0.0091 0.0000 0.001 0.0091 0.0092
==============================================================================
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 561
R² 0.5552
coef (ms) 0.02944
p-value 1.00e-03
95% CI [0.02726, 0.03173]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.555
Model: NNLS Adj. R-squared: 0.554
No. Observations: 561 RMSE: 629.67
Df Residuals: 559 MAE: 511.06
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1520.2162 82.8407 0.001 1356.3773 1678.4405
opcount 0.0294 0.0011 0.001 0.0273 0.0317
==============================================================================
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 682
R² 0.757
coef (ms) 0.004563
p-value 1.00e-03
95% CI [0.004375, 0.004769]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.757
Model: NNLS Adj. R-squared: 0.757
No. Observations: 682 RMSE: 61.79
Df Residuals: 680 MAE: 47.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 58.1813 6.7663 0.001 44.9972 70.5402
opcount 0.0046 0.0001 0.001 0.0044 0.0048
==============================================================================
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 1056
R² 0.9715
coef (ms) 0.0009166
p-value 1.00e-03
95% CI [0.0009067, 0.0009257]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1056 RMSE: 3.75
Df Residuals: 1054 MAE: 2.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.8838 0.3819 0.001 31.1985 32.6860
opcount 0.0009 0.0000 0.001 0.0009 0.0009
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · besu
nobs 286
R² 0.6604
coef (ms) 0.0001535
p-value 1.00e-03
95% CI [0.0001408, 0.0001668]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.660
Model: NNLS Adj. R-squared: 0.659
No. Observations: 286 RMSE: 64.38
Df Residuals: 284 MAE: 51.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 156.7474 12.8296 0.001 132.0136 181.4434
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 · erigon
nobs 418
R² 0.8416
coef (ms) 5.083e-05
p-value 1.00e-03
95% CI [4.847e-05, 5.299e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.842
Model: NNLS Adj. R-squared: 0.841
No. Observations: 418 RMSE: 12.90
Df Residuals: 416 MAE: 10.58
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 36.1995 2.1415 0.001 32.1893 40.6515
opcount 0.0001 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================BALANCE · test_ext_account_query_warm · combo BALANCE · geth
nobs 561
R² 0.9688
coef (ms) 0.0001389
p-value 1.00e-03
95% CI [0.0001368, 0.0001411]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.969
Model: NNLS Adj. R-squared: 0.969
No. Observations: 561 RMSE: 14.57
Df Residuals: 559 MAE: 11.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.9237 1.9662 0.001 11.2046 18.6436
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 · nethermind
nobs 682
R² 0.6898
coef (ms) 0.0001501
p-value 1.00e-03
95% CI [0.0001426, 0.0001577]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.690
Model: NNLS Adj. R-squared: 0.689
No. Observations: 682 RMSE: 58.88
Df Residuals: 680 MAE: 46.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 63.5429 6.7411 0.001 50.4586 76.9632
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 1056
R² 0.6683
coef (ms) 6.971e-06
p-value 1.00e-03
95% CI [6.679e-06, 7.288e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.668
Model: NNLS Adj. R-squared: 0.668
No. Observations: 1056 RMSE: 2.87
Df Residuals: 1054 MAE: 2.00
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.9893 0.2782 0.001 5.4233 6.4899
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 286
R² 0.6802
coef (ms) 0.01916
p-value 1.00e-03
95% CI [0.01741, 0.02074]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.680
Model: NNLS Adj. R-squared: 0.679
No. Observations: 286 RMSE: 311.95
Df Residuals: 284 MAE: 229.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 592.4399 55.9411 0.001 486.5170 707.1070
opcount 0.0192 0.0008 0.001 0.0174 0.0207
==============================================================================
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 418
R² 0.9946
coef (ms) 0.01111
p-value 1.00e-03
95% CI [0.01103, 0.01118]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 19.42
Df Residuals: 416 MAE: 15.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 48.2171 2.6551 0.001 43.0739 53.5371
opcount 0.0111 0.0000 0.001 0.0110 0.0112
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · geth
nobs 561
R² 0.709
coef (ms) 0.01227
p-value 1.00e-03
95% CI [0.01173, 0.01287]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.709
Model: NNLS Adj. R-squared: 0.708
No. Observations: 561 RMSE: 186.69
Df Residuals: 559 MAE: 157.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 484.9146 22.6195 0.001 439.9186 527.5940
opcount 0.0123 0.0003 0.001 0.0117 0.0129
==============================================================================
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 682
R² 0.792
coef (ms) 0.006083
p-value 1.00e-03
95% CI [0.005842, 0.006323]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.792
Model: NNLS Adj. R-squared: 0.792
No. Observations: 682 RMSE: 74.01
Df Residuals: 680 MAE: 55.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 61.7436 8.2508 0.001 45.9254 77.9148
opcount 0.0061 0.0001 0.001 0.0058 0.0063
==============================================================================
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 1056
R² 0.9764
coef (ms) 0.001129
p-value 1.00e-03
95% CI [0.001118, 0.00114]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 1056 RMSE: 4.17
Df Residuals: 1054 MAE: 3.30
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.9170 0.4593 0.001 32.0507 33.8378
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 286
R² 0.8097
coef (ms) 0.01287
p-value 1.00e-03
95% CI [0.01221, 0.01364]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.809
No. Observations: 286 RMSE: 148.18
Df Residuals: 284 MAE: 114.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 548.6595 27.3938 0.001 494.0643 597.6323
opcount 0.0129 0.0004 0.001 0.0122 0.0136
==============================================================================
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 418
R² 0.9955
coef (ms) 0.0101
p-value 1.00e-03
95% CI [0.01003, 0.01017]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 16.21
Df Residuals: 416 MAE: 13.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.3716 2.6429 0.001 12.0888 22.3634
opcount 0.0101 0.0000 0.001 0.0100 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 561
R² 0.6008
coef (ms) 0.03145
p-value 1.00e-03
95% CI [0.02926, 0.03372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.601
Model: NNLS Adj. R-squared: 0.600
No. Observations: 561 RMSE: 608.74
Df Residuals: 559 MAE: 511.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1431.2723 80.0009 0.001 1270.7042 1581.0087
opcount 0.0314 0.0011 0.001 0.0293 0.0337
==============================================================================
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 682
R² 0.7865
coef (ms) 0.005689
p-value 1.00e-03
95% CI [0.005453, 0.005928]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.786
No. Observations: 682 RMSE: 70.39
Df Residuals: 680 MAE: 53.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 64.1494 7.9079 0.001 48.1737 80.6596
opcount 0.0057 0.0001 0.001 0.0055 0.0059
==============================================================================
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 1056
R² 0.9734
coef (ms) 0.0009718
p-value 1.00e-03
95% CI [0.000962, 0.0009815]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1056 RMSE: 3.82
Df Residuals: 1054 MAE: 2.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.1696 0.3803 0.001 31.4257 32.8714
opcount 0.0010 0.0000 0.001 0.0010 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 286
R² 0.8994
coef (ms) 0.03406
p-value 1.00e-03
95% CI [0.03275, 0.03538]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 286 RMSE: 231.79
Df Residuals: 284 MAE: 184.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 430.2638 42.4477 0.001 340.5535 512.6989
opcount 0.0341 0.0007 0.001 0.0328 0.0354
==============================================================================
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 418
R² 0.8698
coef (ms) 0.08783
p-value 1.00e-03
95% CI [0.0849, 0.09107]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.870
Model: NNLS Adj. R-squared: 0.870
No. Observations: 418 RMSE: 691.41
Df Residuals: 416 MAE: 581.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1496.8070 122.1047 0.001 1250.7375 1714.0941
opcount 0.0878 0.0016 0.001 0.0849 0.0911
==============================================================================
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 561
R² 0.7264
coef (ms) 0.04421
p-value 1.00e-03
95% CI [0.04193, 0.04666]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.726
Model: NNLS Adj. R-squared: 0.726
No. Observations: 561 RMSE: 552.07
Df Residuals: 559 MAE: 474.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 957.3048 67.4948 0.001 822.3422 1086.9756
opcount 0.0442 0.0012 0.001 0.0419 0.0467
==============================================================================
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 682
R² 0.7826
coef (ms) 0.02103
p-value 1.00e-03
95% CI [0.02018, 0.02183]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.782
No. Observations: 682 RMSE: 225.52
Df Residuals: 680 MAE: 157.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 239.6138 25.9368 0.001 190.1320 290.7668
opcount 0.0210 0.0004 0.001 0.0202 0.0218
==============================================================================
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 1056
R² 0.8893
coef (ms) 0.03498
p-value 1.00e-03
95% CI [0.03411, 0.03586]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.889
Model: NNLS Adj. R-squared: 0.889
No. Observations: 1056 RMSE: 251.16
Df Residuals: 1054 MAE: 158.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 233.9473 28.5602 0.001 178.5410 290.9334
opcount 0.0350 0.0004 0.001 0.0341 0.0359
==============================================================================
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 286
R² 0.8097
coef (ms) 0.01287
p-value 1.00e-03
95% CI [0.01221, 0.01364]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.810
Model: NNLS Adj. R-squared: 0.809
No. Observations: 286 RMSE: 148.18
Df Residuals: 284 MAE: 114.38
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 548.6595 27.3938 0.001 494.0643 597.6323
opcount 0.0129 0.0004 0.001 0.0122 0.0136
==============================================================================
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 418
R² 0.9955
coef (ms) 0.0101
p-value 1.00e-03
95% CI [0.01003, 0.01017]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 16.21
Df Residuals: 416 MAE: 13.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.3716 2.6429 0.001 12.0888 22.3634
opcount 0.0101 0.0000 0.001 0.0100 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 561
R² 0.6008
coef (ms) 0.03145
p-value 1.00e-03
95% CI [0.02926, 0.03372]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.601
Model: NNLS Adj. R-squared: 0.600
No. Observations: 561 RMSE: 608.74
Df Residuals: 559 MAE: 511.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1431.2723 80.0009 0.001 1270.7042 1581.0087
opcount 0.0314 0.0011 0.001 0.0293 0.0337
==============================================================================
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 682
R² 0.7865
coef (ms) 0.005689
p-value 1.00e-03
95% CI [0.005453, 0.005928]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.786
Model: NNLS Adj. R-squared: 0.786
No. Observations: 682 RMSE: 70.39
Df Residuals: 680 MAE: 53.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 64.1494 7.9079 0.001 48.1737 80.6596
opcount 0.0057 0.0001 0.001 0.0055 0.0059
==============================================================================
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 1056
R² 0.9734
coef (ms) 0.0009718
p-value 1.00e-03
95% CI [0.000962, 0.0009815]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1056 RMSE: 3.82
Df Residuals: 1054 MAE: 2.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.1696 0.3803 0.001 31.4257 32.8714
opcount 0.0010 0.0000 0.001 0.0010 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 286
R² 0.9392
coef (ms) 0.07655
p-value 1.00e-03
95% CI [0.07399, 0.07896]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.939
Model: NNLS Adj. R-squared: 0.939
No. Observations: 286 RMSE: 131.04
Df Residuals: 284 MAE: 107.33
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 378.2036 26.1516 0.001 326.2478 432.1351
opcount 0.0766 0.0013 0.001 0.0740 0.0790
==============================================================================
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 418
R² 0.9586
coef (ms) 0.2295
p-value 1.00e-03
95% CI [0.2247, 0.234]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.959
Model: NNLS Adj. R-squared: 0.959
No. Observations: 418 RMSE: 320.78
Df Residuals: 416 MAE: 264.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 2385.0326 56.0863 0.001 2276.1746 2494.3695
opcount 0.2295 0.0024 0.001 0.2247 0.2340
==============================================================================
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 561
R² 0.8828
coef (ms) 0.05414
p-value 1.00e-03
95% CI [0.05256, 0.05589]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.883
No. Observations: 561 RMSE: 132.75
Df Residuals: 559 MAE: 105.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 357.4102 16.7863 0.001 324.7606 389.8495
opcount 0.0541 0.0008 0.001 0.0526 0.0559
==============================================================================
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 682
R² 0.6993
coef (ms) 0.03372
p-value 1.00e-03
95% CI [0.03195, 0.03555]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.699
Model: NNLS Adj. R-squared: 0.699
No. Observations: 682 RMSE: 148.80
Df Residuals: 680 MAE: 120.07
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 220.6585 17.4050 0.001 187.0171 255.3537
opcount 0.0337 0.0009 0.001 0.0319 0.0356
==============================================================================
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 1056
R² 0.9498
coef (ms) 0.147
p-value 1.00e-03
95% CI [0.1444, 0.1496]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.950
Model: NNLS Adj. R-squared: 0.950
No. Observations: 1056 RMSE: 227.50
Df Residuals: 1054 MAE: 177.49
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 568.6733 31.4799 0.001 507.3220 629.2646
opcount 0.1470 0.0013 0.001 0.1444 0.1496
==============================================================================
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 286
R² 0.1723
coef (ms) 0.09663
p-value 1.00e-03
95% CI [0.06647, 0.1311]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.172
Model: NNLS Adj. R-squared: 0.169
No. Observations: 286 RMSE: 69.72
Df Residuals: 284 MAE: 46.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 357.7734 16.0427 0.001 324.5397 387.6560
opcount 0.0966 0.0164 0.001 0.0665 0.1311
==============================================================================
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 418
R² 0.6928
coef (ms) 1.572
p-value 1.00e-03
95% CI [1.473, 1.672]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.693
Model: NNLS Adj. R-squared: 0.692
No. Observations: 418 RMSE: 344.64
Df Residuals: 416 MAE: 316.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 692.6879 50.5811 0.001 588.6307 788.8476
opcount 1.5719 0.0510 0.001 1.4727 1.6723
==============================================================================
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 561
R² 0.3177
coef (ms) 0.1223
p-value 1.00e-03
95% CI [0.108, 0.1357]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.318
Model: NNLS Adj. R-squared: 0.316
No. Observations: 561 RMSE: 58.99
Df Residuals: 559 MAE: 48.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.0666 6.8698 0.001 64.5748 92.0770
opcount 0.1223 0.0070 0.001 0.1080 0.1357
==============================================================================
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 682
R² 0.6421
coef (ms) 0.04204
p-value 1.00e-03
95% CI [0.03959, 0.04458]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.642
Model: NNLS Adj. R-squared: 0.642
No. Observations: 682 RMSE: 10.33
Df Residuals: 680 MAE: 8.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.6712 1.2160 0.001 15.2669 19.9954
opcount 0.0420 0.0012 0.001 0.0396 0.0446
==============================================================================
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 1056
R² 0.006104
coef (ms) 0.006498
p-value 1.80e-02
95% CI [0.0005219, 0.01256]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.006
Model: NNLS Adj. R-squared: 0.005
No. Observations: 1056 RMSE: 27.30
Df Residuals: 1054 MAE: 21.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.3752 3.7656 0.001 88.8040 103.9135
opcount 0.0065 0.0031 0.018 0.0005 0.0126
==============================================================================
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 286
R² 0.9185
coef (ms) 0.1003
p-value 1.00e-03
95% CI [0.09713, 0.1041]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.919
Model: NNLS Adj. R-squared: 0.918
No. Observations: 286 RMSE: 191.96
Df Residuals: 284 MAE: 155.66
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 972.9233 37.2159 0.001 894.6796 1042.8311
opcount 0.1003 0.0018 0.001 0.0971 0.1041
==============================================================================
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 418
R² 0.9318
coef (ms) 1.132
p-value 1.00e-03
95% CI [1.099, 1.164]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.932
Model: NNLS Adj. R-squared: 0.932
No. Observations: 418 RMSE: 1966.83
Df Residuals: 416 MAE: 1660.69
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 13304.4260 301.9879 0.001 12707.2743 13917.7894
opcount 1.1321 0.0161 0.001 1.0995 1.1637
==============================================================================
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 561
R² 0.9308
coef (ms) 0.09718
p-value 1.00e-03
95% CI [0.0953, 0.09916]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.931
Model: NNLS Adj. R-squared: 0.931
No. Observations: 561 RMSE: 170.21
Df Residuals: 559 MAE: 130.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 694.8484 20.3444 0.001 654.5472 734.0159
opcount 0.0972 0.0010 0.001 0.0953 0.0992
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_account_access · combo CALL_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · nethermind
nobs 682
R² 0.7593
coef (ms) 0.0602
p-value 1.00e-03
95% CI [0.05759, 0.06285]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.759
Model: NNLS Adj. R-squared: 0.759
No. Observations: 682 RMSE: 217.67
Df Residuals: 680 MAE: 173.60
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 229.8624 24.8776 0.001 181.6751 277.4561
opcount 0.0602 0.0014 0.001 0.0576 0.0629
==============================================================================
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 1056
R² 0.9709
coef (ms) 0.1513
p-value 1.00e-03
95% CI [0.1496, 0.1533]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 1056 RMSE: 168.22
Df Residuals: 1054 MAE: 132.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1010.0316 21.9682 0.001 965.2064 1051.1776
opcount 0.1513 0.0009 0.001 0.1496 0.1533
==============================================================================
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 286
R² 0.1723
coef (ms) 0.09663
p-value 1.00e-03
95% CI [0.06647, 0.1311]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.172
Model: NNLS Adj. R-squared: 0.169
No. Observations: 286 RMSE: 69.72
Df Residuals: 284 MAE: 46.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 357.7734 16.0427 0.001 324.5397 387.6560
opcount 0.0966 0.0164 0.001 0.0665 0.1311
==============================================================================
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 418
R² 0.6928
coef (ms) 1.572
p-value 1.00e-03
95% CI [1.473, 1.672]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.693
Model: NNLS Adj. R-squared: 0.692
No. Observations: 418 RMSE: 344.64
Df Residuals: 416 MAE: 316.65
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 692.6879 50.5811 0.001 588.6307 788.8476
opcount 1.5719 0.0510 0.001 1.4727 1.6723
==============================================================================
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 561
R² 0.3177
coef (ms) 0.1223
p-value 1.00e-03
95% CI [0.108, 0.1357]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.318
Model: NNLS Adj. R-squared: 0.316
No. Observations: 561 RMSE: 58.99
Df Residuals: 559 MAE: 48.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 78.0666 6.8698 0.001 64.5748 92.0770
opcount 0.1223 0.0070 0.001 0.1080 0.1357
==============================================================================
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 682
R² 0.6421
coef (ms) 0.04204
p-value 1.00e-03
95% CI [0.03959, 0.04458]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.642
Model: NNLS Adj. R-squared: 0.642
No. Observations: 682 RMSE: 10.33
Df Residuals: 680 MAE: 8.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 17.6712 1.2160 0.001 15.2669 19.9954
opcount 0.0420 0.0012 0.001 0.0396 0.0446
==============================================================================
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 1056
R² 0.006104
coef (ms) 0.006498
p-value 1.80e-02
95% CI [0.0005219, 0.01256]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.006
Model: NNLS Adj. R-squared: 0.005
No. Observations: 1056 RMSE: 27.30
Df Residuals: 1054 MAE: 21.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 96.3752 3.7656 0.001 88.8040 103.9135
opcount 0.0065 0.0031 0.018 0.0005 0.0126
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · besu
nobs 286
R² 0.9562
coef (ms) 0.001346
p-value 1.00e-03
95% CI [0.001312, 0.001379]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.956
Model: NNLS Adj. R-squared: 0.956
No. Observations: 286 RMSE: 145.49
Df Residuals: 284 MAE: 118.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 772.0548 30.8896 0.001 714.8577 832.1726
opcount 0.0013 0.0000 0.001 0.0013 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · erigon
nobs 418
R² 0.8299
coef (ms) 0.000519
p-value 1.00e-03
95% CI [0.0004964, 0.0005472]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.830
Model: NNLS Adj. R-squared: 0.830
No. Observations: 418 RMSE: 118.71
Df Residuals: 416 MAE: 72.46
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 56.4571 17.4449 0.001 18.9382 88.2260
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 · geth
nobs 561
R² 0.9855
coef (ms) 0.0005862
p-value 1.00e-03
95% CI [0.0005808, 0.000592]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.986
Model: NNLS Adj. R-squared: 0.986
No. Observations: 561 RMSE: 35.88
Df Residuals: 559 MAE: 28.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.0194 4.0549 0.001 14.7253 30.8098
opcount 0.0006 0.0000 0.001 0.0006 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · nethermind
nobs 682
R² 0.5208
coef (ms) 0.0005168
p-value 1.00e-03
95% CI [0.0004764, 0.000558]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.521
Model: NNLS Adj. R-squared: 0.520
No. Observations: 682 RMSE: 250.46
Df Residuals: 680 MAE: 194.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 384.7920 28.7705 0.001 329.9117 440.1884
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALL · test_ext_account_query_warm · combo CALL · reth
nobs 1056
R² 0.8934
coef (ms) 4.964e-05
p-value 1.00e-03
95% CI [4.856e-05, 5.067e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.893
Model: NNLS Adj. R-squared: 0.893
No. Observations: 1056 RMSE: 8.67
Df Residuals: 1054 MAE: 7.13
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 18.4522 0.8806 0.001 16.7231 20.1665
opcount 0.0000 0.0000 0.001 0.0000 0.0001
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_EOA` — `presets[cold_account_nocode_access] · besu
nobs 286
R² 0.666
coef (ms) 0.01855
p-value 1.00e-03
95% CI [0.01698, 0.02013]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.666
Model: NNLS Adj. R-squared: 0.665
No. Observations: 286 RMSE: 311.97
Df Residuals: 284 MAE: 230.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 588.6560 55.6195 0.001 477.4344 695.7759
opcount 0.0186 0.0008 0.001 0.0170 0.0201
==============================================================================
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 418
R² 0.9957
coef (ms) 0.01027
p-value 1.00e-03
95% CI [0.0102, 0.01034]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 15.99
Df Residuals: 416 MAE: 12.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.0286 2.4943 0.001 26.1793 35.8379
opcount 0.0103 0.0000 0.001 0.0102 0.0103
==============================================================================
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 561
R² 0.7109
coef (ms) 0.01231
p-value 1.00e-03
95% CI [0.0117, 0.01297]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.711
Model: NNLS Adj. R-squared: 0.710
No. Observations: 561 RMSE: 186.38
Df Residuals: 559 MAE: 158.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 503.5820 25.0355 0.001 455.8899 549.8554
opcount 0.0123 0.0003 0.001 0.0117 0.0130
==============================================================================
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 682
R² 0.7745
coef (ms) 0.006004
p-value 1.00e-03
95% CI [0.005787, 0.006235]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.774
No. Observations: 682 RMSE: 76.92
Df Residuals: 680 MAE: 59.29
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.6185 7.6193 0.001 50.8728 80.1750
opcount 0.0060 0.0001 0.001 0.0058 0.0062
==============================================================================
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 1056
R² 0.9771
coef (ms) 0.001136
p-value 1.00e-03
95% CI [0.001126, 0.001147]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.977
Model: NNLS Adj. R-squared: 0.977
No. Observations: 1056 RMSE: 4.13
Df Residuals: 1054 MAE: 3.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.3971 0.4424 0.001 30.5429 32.2990
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 286
R² 0.8056
coef (ms) 0.01156
p-value 1.00e-03
95% CI [0.01088, 0.01228]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.805
No. Observations: 286 RMSE: 134.78
Df Residuals: 284 MAE: 108.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 557.6139 25.4759 0.001 504.1844 605.4980
opcount 0.0116 0.0003 0.001 0.0109 0.0123
==============================================================================
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 418
R² 0.9949
coef (ms) 0.009547
p-value 1.00e-03
95% CI [0.009484, 0.009615]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 16.31
Df Residuals: 416 MAE: 13.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.5969 2.5373 0.001 15.5777 25.2167
opcount 0.0095 0.0000 0.001 0.0095 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 561
R² 0.6337
coef (ms) 0.03185
p-value 1.00e-03
95% CI [0.02988, 0.03384]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.634
Model: NNLS Adj. R-squared: 0.633
No. Observations: 561 RMSE: 575.05
Df Residuals: 559 MAE: 477.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1457.1070 77.2397 0.001 1312.1952 1594.6631
opcount 0.0319 0.0011 0.001 0.0299 0.0338
==============================================================================
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 682
R² 0.7908
coef (ms) 0.005574
p-value 1.00e-03
95% CI [0.005331, 0.00581]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.790
No. Observations: 682 RMSE: 68.08
Df Residuals: 680 MAE: 52.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.6611 8.0999 0.001 50.2360 80.8814
opcount 0.0056 0.0001 0.001 0.0053 0.0058
==============================================================================
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 1056
R² 0.9724
coef (ms) 0.00096
p-value 1.00e-03
95% CI [0.0009497, 0.0009701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1056 RMSE: 3.84
Df Residuals: 1054 MAE: 3.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.6698 0.3886 0.001 30.9118 32.4232
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 286
R² 0.8775
coef (ms) 0.03233
p-value 1.00e-03
95% CI [0.031, 0.0336]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.878
Model: NNLS Adj. R-squared: 0.877
No. Observations: 286 RMSE: 245.80
Df Residuals: 284 MAE: 188.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 523.6484 40.9097 0.001 447.2727 603.6409
opcount 0.0323 0.0007 0.001 0.0310 0.0336
==============================================================================
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 418
R² 0.8695
coef (ms) 0.08768
p-value 1.00e-03
95% CI [0.0844, 0.09082]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.869
Model: NNLS Adj. R-squared: 0.869
No. Observations: 418 RMSE: 691.33
Df Residuals: 416 MAE: 586.79
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1464.7441 120.2114 0.001 1237.4844 1699.9906
opcount 0.0877 0.0016 0.001 0.0844 0.0908
==============================================================================
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 561
R² 0.6062
coef (ms) 0.03454
p-value 1.00e-03
95% CI [0.03228, 0.03665]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.606
Model: NNLS Adj. R-squared: 0.605
No. Observations: 561 RMSE: 566.55
Df Residuals: 559 MAE: 474.47
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1379.1644 73.8592 0.001 1238.5615 1523.2899
opcount 0.0345 0.0012 0.001 0.0323 0.0366
==============================================================================
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 682
R² 0.7751
coef (ms) 0.02057
p-value 1.00e-03
95% CI [0.01975, 0.02143]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.775
No. Observations: 682 RMSE: 225.51
Df Residuals: 680 MAE: 159.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 270.6765 26.0895 0.001 221.9262 321.3027
opcount 0.0206 0.0004 0.001 0.0198 0.0214
==============================================================================
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 1056
R² 0.7733
coef (ms) 0.03016
p-value 1.00e-03
95% CI [0.02911, 0.03125]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.773
No. Observations: 1056 RMSE: 332.30
Df Residuals: 1054 MAE: 202.10
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 629.4951 38.1602 0.001 555.5500 696.4957
opcount 0.0302 0.0006 0.001 0.0291 0.0313
==============================================================================
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 286
R² 0.8056
coef (ms) 0.01156
p-value 1.00e-03
95% CI [0.01088, 0.01228]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.806
Model: NNLS Adj. R-squared: 0.805
No. Observations: 286 RMSE: 134.78
Df Residuals: 284 MAE: 108.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 557.6139 25.4759 0.001 504.1844 605.4980
opcount 0.0116 0.0003 0.001 0.0109 0.0123
==============================================================================
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 418
R² 0.9949
coef (ms) 0.009547
p-value 1.00e-03
95% CI [0.009484, 0.009615]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 16.31
Df Residuals: 416 MAE: 13.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 20.5969 2.5373 0.001 15.5777 25.2167
opcount 0.0095 0.0000 0.001 0.0095 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 561
R² 0.6337
coef (ms) 0.03185
p-value 1.00e-03
95% CI [0.02988, 0.03384]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.634
Model: NNLS Adj. R-squared: 0.633
No. Observations: 561 RMSE: 575.05
Df Residuals: 559 MAE: 477.91
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1457.1070 77.2397 0.001 1312.1952 1594.6631
opcount 0.0319 0.0011 0.001 0.0299 0.0338
==============================================================================
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 682
R² 0.7908
coef (ms) 0.005574
p-value 1.00e-03
95% CI [0.005331, 0.00581]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.791
Model: NNLS Adj. R-squared: 0.790
No. Observations: 682 RMSE: 68.08
Df Residuals: 680 MAE: 52.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 65.6611 8.0999 0.001 50.2360 80.8814
opcount 0.0056 0.0001 0.001 0.0053 0.0058
==============================================================================
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 1056
R² 0.9724
coef (ms) 0.00096
p-value 1.00e-03
95% CI [0.0009497, 0.0009701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.972
Model: NNLS Adj. R-squared: 0.972
No. Observations: 1056 RMSE: 3.84
Df Residuals: 1054 MAE: 3.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.6698 0.3886 0.001 30.9118 32.4232
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 286
R² 0.7424
coef (ms) 0.02008
p-value 1.00e-03
95% CI [0.01857, 0.02153]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.742
Model: NNLS Adj. R-squared: 0.741
No. Observations: 286 RMSE: 79.60
Df Residuals: 284 MAE: 59.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 257.2833 14.8693 0.001 229.0348 286.2618
opcount 0.0201 0.0008 0.001 0.0186 0.0215
==============================================================================
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 418
R² 0.9736
coef (ms) 0.008062
p-value 1.00e-03
95% CI [0.007922, 0.008195]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 418 RMSE: 8.93
Df Residuals: 416 MAE: 7.25
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 40.8352 1.4529 0.001 38.1157 43.8229
opcount 0.0081 0.0001 0.001 0.0079 0.0082
==============================================================================
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 561
R² 0.2407
coef (ms) 0.0125
p-value 1.00e-03
95% CI [0.01073, 0.0142]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.241
Model: NNLS Adj. R-squared: 0.239
No. Observations: 561 RMSE: 149.42
Df Residuals: 559 MAE: 127.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 246.7054 18.2617 0.001 209.6629 283.5705
opcount 0.0125 0.0009 0.001 0.0107 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 682
R² 0.7726
coef (ms) 0.005862
p-value 1.00e-03
95% CI [0.00562, 0.006109]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.772
No. Observations: 682 RMSE: 21.40
Df Residuals: 680 MAE: 16.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 49.4546 2.3313 0.001 44.8299 54.0231
opcount 0.0059 0.0001 0.001 0.0056 0.0061
==============================================================================
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 1056
R² 0.9381
coef (ms) 0.001209
p-value 1.00e-03
95% CI [0.001191, 0.001228]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 1056 RMSE: 2.09
Df Residuals: 1054 MAE: 1.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 9.7911 0.1987 0.001 9.3952 10.1611
opcount 0.0012 0.0000 0.001 0.0012 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · besu
nobs 286
R² 0.3371
coef (ms) 0.003834
p-value 1.00e-03
95% CI [0.003185, 0.004536]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.337
Model: NNLS Adj. R-squared: 0.335
No. Observations: 286 RMSE: 36.19
Df Residuals: 284 MAE: 28.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 293.7402 7.6090 0.001 278.4041 308.2687
opcount 0.0038 0.0003 0.001 0.0032 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_write] · erigon
nobs 418
R² 0.7672
coef (ms) 0.001801
p-value 1.00e-03
95% CI [0.001705, 0.001898]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.767
Model: NNLS Adj. R-squared: 0.767
No. Observations: 418 RMSE: 6.68
Df Residuals: 416 MAE: 5.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.6915 1.0664 0.001 52.6219 56.7328
opcount 0.0018 0.0000 0.001 0.0017 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_write] · geth
nobs 561
R² 0.03448
coef (ms) 0.01055
p-value 1.00e-03
95% CI [0.00605, 0.01521]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.034
Model: NNLS Adj. R-squared: 0.033
No. Observations: 561 RMSE: 375.77
Df Residuals: 559 MAE: 343.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 446.4394 49.1509 0.001 349.7171 538.5711
opcount 0.0105 0.0024 0.001 0.0060 0.0152
==============================================================================
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 682
R² 0.5913
coef (ms) 0.002494
p-value 1.00e-03
95% CI [0.002351, 0.002646]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.591
Model: NNLS Adj. R-squared: 0.591
No. Observations: 682 RMSE: 13.96
Df Residuals: 680 MAE: 11.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.4553 1.5548 0.001 38.3291 44.3312
opcount 0.0025 0.0001 0.001 0.0024 0.0026
==============================================================================
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 1056
R² 0.775
coef (ms) 0.0002405
p-value 1.00e-03
95% CI [0.0002322, 0.0002488]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.775
No. Observations: 1056 RMSE: 0.87
Df Residuals: 1054 MAE: 0.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2429 0.0850 0.001 6.0773 6.4186
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.EXISTING_CONTRACT` — `presets[cold_account_code_write] · besu
nobs 286
R² 0.6815
coef (ms) 0.02874
p-value 1.00e-03
95% CI [0.02628, 0.03117]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.682
Model: NNLS Adj. R-squared: 0.680
No. Observations: 286 RMSE: 126.17
Df Residuals: 284 MAE: 93.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 236.6282 22.3366 0.001 194.0869 279.8499
opcount 0.0287 0.0013 0.001 0.0263 0.0312
==============================================================================
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 418
R² 0.9054
coef (ms) 0.08299
p-value 1.00e-03
95% CI [0.08077, 0.0852]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.905
Model: NNLS Adj. R-squared: 0.905
No. Observations: 418 RMSE: 172.32
Df Residuals: 416 MAE: 142.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 563.1981 27.2197 0.001 511.3528 615.1659
opcount 0.0830 0.0012 0.001 0.0808 0.0852
==============================================================================
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 561
R² 0.676
coef (ms) 0.04983
p-value 1.00e-03
95% CI [0.04711, 0.05256]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.676
Model: NNLS Adj. R-squared: 0.675
No. Observations: 561 RMSE: 221.57
Df Residuals: 559 MAE: 190.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 323.9260 24.9493 0.001 275.7548 374.6745
opcount 0.0498 0.0014 0.001 0.0471 0.0526
==============================================================================
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 682
R² 0.7359
coef (ms) 0.02093
p-value 1.00e-03
95% CI [0.01998, 0.02184]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.736
Model: NNLS Adj. R-squared: 0.736
No. Observations: 682 RMSE: 80.53
Df Residuals: 680 MAE: 56.92
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 98.2195 8.9936 0.001 81.7781 117.2547
opcount 0.0209 0.0005 0.001 0.0200 0.0218
==============================================================================
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 1056
R² 0.4034
coef (ms) 0.01322
p-value 1.00e-03
95% CI [0.01183, 0.01466]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.403
Model: NNLS Adj. R-squared: 0.403
No. Observations: 1056 RMSE: 103.24
Df Residuals: 1054 MAE: 79.14
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 174.1509 15.9522 0.001 140.8948 204.7044
opcount 0.0132 0.0007 0.001 0.0118 0.0147
==============================================================================
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 286
R² 0.3371
coef (ms) 0.003834
p-value 1.00e-03
95% CI [0.003185, 0.004536]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.337
Model: NNLS Adj. R-squared: 0.335
No. Observations: 286 RMSE: 36.19
Df Residuals: 284 MAE: 28.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 293.7402 7.6090 0.001 278.4041 308.2687
opcount 0.0038 0.0003 0.001 0.0032 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_write] · erigon
nobs 418
R² 0.7672
coef (ms) 0.001801
p-value 1.00e-03
95% CI [0.001705, 0.001898]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.767
Model: NNLS Adj. R-squared: 0.767
No. Observations: 418 RMSE: 6.68
Df Residuals: 416 MAE: 5.83
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.6915 1.0664 0.001 52.6219 56.7328
opcount 0.0018 0.0000 0.001 0.0017 0.0019
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_account_access · combo CALLCODE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_write] · geth
nobs 561
R² 0.03448
coef (ms) 0.01055
p-value 1.00e-03
95% CI [0.00605, 0.01521]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.034
Model: NNLS Adj. R-squared: 0.033
No. Observations: 561 RMSE: 375.77
Df Residuals: 559 MAE: 343.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 446.4394 49.1509 0.001 349.7171 538.5711
opcount 0.0105 0.0024 0.001 0.0060 0.0152
==============================================================================
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 682
R² 0.5913
coef (ms) 0.002494
p-value 1.00e-03
95% CI [0.002351, 0.002646]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.591
Model: NNLS Adj. R-squared: 0.591
No. Observations: 682 RMSE: 13.96
Df Residuals: 680 MAE: 11.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.4553 1.5548 0.001 38.3291 44.3312
opcount 0.0025 0.0001 0.001 0.0024 0.0026
==============================================================================
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 1056
R² 0.775
coef (ms) 0.0002405
p-value 1.00e-03
95% CI [0.0002322, 0.0002488]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.775
No. Observations: 1056 RMSE: 0.87
Df Residuals: 1054 MAE: 0.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2429 0.0850 0.001 6.0773 6.4186
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · besu
nobs 286
R² 0.9546
coef (ms) 0.001356
p-value 1.00e-03
95% CI [0.001323, 0.001391]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.955
Model: NNLS Adj. R-squared: 0.954
No. Observations: 286 RMSE: 149.41
Df Residuals: 284 MAE: 121.34
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 774.6343 30.7929 0.001 715.0401 831.5418
opcount 0.0014 0.0000 0.001 0.0013 0.0014
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · erigon
nobs 418
R² 0.9009
coef (ms) 0.0002846
p-value 1.00e-03
95% CI [0.0002758, 0.0002932]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.901
Model: NNLS Adj. R-squared: 0.901
No. Observations: 418 RMSE: 47.69
Df Residuals: 416 MAE: 38.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 52.2219 6.7862 0.001 39.6988 65.1955
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · geth
nobs 561
R² 0.9787
coef (ms) 0.0006909
p-value 1.00e-03
95% CI [0.0006824, 0.0006998]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.979
No. Observations: 561 RMSE: 51.56
Df Residuals: 559 MAE: 39.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5620 6.4072 0.004 4.1566 29.5839
opcount 0.0007 0.0000 0.001 0.0007 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · nethermind
nobs 682
R² 0.5777
coef (ms) 0.000533
p-value 1.00e-03
95% CI [0.0004978, 0.0005688]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.578
Model: NNLS Adj. R-squared: 0.577
No. Observations: 682 RMSE: 230.26
Df Residuals: 680 MAE: 181.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 365.4173 25.1595 0.001 315.8339 416.7247
opcount 0.0005 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================CALLCODE · test_ext_account_query_warm · combo CALLCODE · reth
nobs 1056
R² 0.9069
coef (ms) 4.812e-05
p-value 1.00e-03
95% CI [4.707e-05, 4.912e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.907
Model: NNLS Adj. R-squared: 0.907
No. Observations: 1056 RMSE: 7.79
Df Residuals: 1054 MAE: 6.31
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.5775 0.8410 0.001 14.9413 18.3254
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · besu
nobs 286
R² 0.6547
coef (ms) 0.01836
p-value 1.00e-03
95% CI [0.01664, 0.01976]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.655
Model: NNLS Adj. R-squared: 0.653
No. Observations: 286 RMSE: 316.95
Df Residuals: 284 MAE: 235.93
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 584.2775 54.2965 0.001 485.4124 698.2947
opcount 0.0184 0.0008 0.001 0.0166 0.0198
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · erigon
nobs 418
R² 0.9957
coef (ms) 0.01012
p-value 1.00e-03
95% CI [0.01006, 0.01019]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 15.80
Df Residuals: 416 MAE: 12.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 42.8318 2.2814 0.001 38.2999 47.4411
opcount 0.0101 0.0000 0.001 0.0101 0.0102
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · geth
nobs 561
R² 0.7086
coef (ms) 0.0123
p-value 1.00e-03
95% CI [0.01169, 0.01294]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.709
Model: NNLS Adj. R-squared: 0.708
No. Observations: 561 RMSE: 187.45
Df Residuals: 559 MAE: 158.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 497.1733 25.0926 0.001 448.8567 543.9733
opcount 0.0123 0.0003 0.001 0.0117 0.0129
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · nethermind
nobs 682
R² 0.7724
coef (ms) 0.005941
p-value 1.00e-03
95% CI [0.00571, 0.006202]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.772
Model: NNLS Adj. R-squared: 0.772
No. Observations: 682 RMSE: 76.67
Df Residuals: 680 MAE: 58.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 74.3194 8.5270 0.001 56.7816 90.7112
opcount 0.0059 0.0001 0.001 0.0057 0.0062
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_EOA · reth
nobs 1056
R² 0.9712
coef (ms) 0.001123
p-value 1.00e-03
95% CI [0.001111, 0.001135]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.971
Model: NNLS Adj. R-squared: 0.971
No. Observations: 1056 RMSE: 4.60
Df Residuals: 1054 MAE: 3.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.1884 0.5258 0.001 31.1326 33.1896
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 286
R² 0.8551
coef (ms) 0.01191
p-value 1.00e-03
95% CI [0.01136, 0.01253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.855
Model: NNLS Adj. R-squared: 0.855
No. Observations: 286 RMSE: 116.56
Df Residuals: 284 MAE: 94.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 523.7447 22.5830 0.001 476.4728 563.8939
opcount 0.0119 0.0003 0.001 0.0114 0.0125
==============================================================================
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 418
R² 0.9959
coef (ms) 0.009545
p-value 1.00e-03
95% CI [0.009486, 0.009606]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 14.49
Df Residuals: 416 MAE: 11.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.0801 2.2654 0.001 14.4258 23.4695
opcount 0.0095 0.0000 0.001 0.0095 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 561
R² 0.6202
coef (ms) 0.03177
p-value 1.00e-03
95% CI [0.02958, 0.03408]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.620
Model: NNLS Adj. R-squared: 0.620
No. Observations: 561 RMSE: 591.06
Df Residuals: 559 MAE: 484.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1470.2510 81.2951 0.001 1302.5444 1632.8158
opcount 0.0318 0.0011 0.001 0.0296 0.0341
==============================================================================
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 682
R² 0.7811
coef (ms) 0.005527
p-value 1.00e-03
95% CI [0.005301, 0.00577]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 682 RMSE: 69.56
Df Residuals: 680 MAE: 53.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.6502 7.9873 0.001 53.7858 84.9926
opcount 0.0055 0.0001 0.001 0.0053 0.0058
==============================================================================
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 1056
R² 0.9727
coef (ms) 0.0009602
p-value 1.00e-03
95% CI [0.0009511, 0.0009701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1056 RMSE: 3.82
Df Residuals: 1054 MAE: 3.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.6537 0.3879 0.001 30.8902 32.4446
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · besu
nobs 286
R² 0.8983
coef (ms) 0.03332
p-value 1.00e-03
95% CI [0.03208, 0.03461]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.898
Model: NNLS Adj. R-squared: 0.898
No. Observations: 286 RMSE: 228.37
Df Residuals: 284 MAE: 174.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 418.8015 40.3114 0.001 338.3071 486.9388
opcount 0.0333 0.0007 0.001 0.0321 0.0346
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 418
R² 0.8728
coef (ms) 0.08742
p-value 1.00e-03
95% CI [0.08429, 0.09054]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.873
Model: NNLS Adj. R-squared: 0.872
No. Observations: 418 RMSE: 679.93
Df Residuals: 416 MAE: 576.39
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1485.7298 116.7480 0.001 1255.4277 1716.1175
opcount 0.0874 0.0016 0.001 0.0843 0.0905
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · geth
nobs 561
R² 0.6331
coef (ms) 0.035
p-value 1.00e-03
95% CI [0.03284, 0.03732]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.633
Model: NNLS Adj. R-squared: 0.632
No. Observations: 561 RMSE: 542.80
Df Residuals: 559 MAE: 445.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1355.5510 71.1718 0.001 1208.9002 1500.2108
opcount 0.0350 0.0012 0.001 0.0328 0.0373
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 682
R² 0.7664
coef (ms) 0.02053
p-value 1.00e-03
95% CI [0.01965, 0.02136]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.766
Model: NNLS Adj. R-squared: 0.766
No. Observations: 682 RMSE: 230.93
Df Residuals: 680 MAE: 164.54
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 270.5539 26.6970 0.001 219.3276 324.3129
opcount 0.0205 0.0004 0.001 0.0196 0.0214
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.EXISTING_CONTRACT · reth
nobs 1056
R² 0.9222
coef (ms) 0.03754
p-value 1.00e-03
95% CI [0.03731, 0.03776]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.922
Model: NNLS Adj. R-squared: 0.922
No. Observations: 1056 RMSE: 231.04
Df Residuals: 1054 MAE: 128.41
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.0000 1.000 0.0000 0.0000
opcount 0.0375 0.0001 0.001 0.0373 0.0378
==============================================================================
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 286
R² 0.8551
coef (ms) 0.01191
p-value 1.00e-03
95% CI [0.01136, 0.01253]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.855
Model: NNLS Adj. R-squared: 0.855
No. Observations: 286 RMSE: 116.56
Df Residuals: 284 MAE: 94.87
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 523.7447 22.5830 0.001 476.4728 563.8939
opcount 0.0119 0.0003 0.001 0.0114 0.0125
==============================================================================
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 418
R² 0.9959
coef (ms) 0.009545
p-value 1.00e-03
95% CI [0.009486, 0.009606]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 14.49
Df Residuals: 416 MAE: 11.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.0801 2.2654 0.001 14.4258 23.4695
opcount 0.0095 0.0000 0.001 0.0095 0.0096
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_account_access · combo DELEGATECALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 561
R² 0.6202
coef (ms) 0.03177
p-value 1.00e-03
95% CI [0.02958, 0.03408]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.620
Model: NNLS Adj. R-squared: 0.620
No. Observations: 561 RMSE: 591.06
Df Residuals: 559 MAE: 484.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1470.2510 81.2951 0.001 1302.5444 1632.8158
opcount 0.0318 0.0011 0.001 0.0296 0.0341
==============================================================================
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 682
R² 0.7811
coef (ms) 0.005527
p-value 1.00e-03
95% CI [0.005301, 0.00577]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.781
Model: NNLS Adj. R-squared: 0.781
No. Observations: 682 RMSE: 69.56
Df Residuals: 680 MAE: 53.27
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 70.6502 7.9873 0.001 53.7858 84.9926
opcount 0.0055 0.0001 0.001 0.0053 0.0058
==============================================================================
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 1056
R² 0.9727
coef (ms) 0.0009602
p-value 1.00e-03
95% CI [0.0009511, 0.0009701]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1056 RMSE: 3.82
Df Residuals: 1054 MAE: 3.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.6537 0.3879 0.001 30.8902 32.4446
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · besu
nobs 286
R² 0.9585
coef (ms) 0.001313
p-value 1.00e-03
95% CI [0.001283, 0.001341]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.958
Model: NNLS Adj. R-squared: 0.958
No. Observations: 286 RMSE: 141.49
Df Residuals: 284 MAE: 105.52
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 718.0529 26.9588 0.001 665.2606 770.9186
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · erigon
nobs 418
R² 0.9051
coef (ms) 0.0002761
p-value 1.00e-03
95% CI [0.0002679, 0.0002852]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.905
Model: NNLS Adj. R-squared: 0.905
No. Observations: 418 RMSE: 46.28
Df Residuals: 416 MAE: 37.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 62.1101 6.9609 0.001 47.4198 75.5321
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · geth
nobs 561
R² 0.9761
coef (ms) 0.0005538
p-value 1.00e-03
95% CI [0.0005467, 0.0005616]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.976
Model: NNLS Adj. R-squared: 0.976
No. Observations: 561 RMSE: 44.89
Df Residuals: 559 MAE: 34.23
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 23.6296 5.5939 0.001 12.2465 34.0852
opcount 0.0006 0.0000 0.001 0.0005 0.0006
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · nethermind
nobs 682
R² 0.5583
coef (ms) 0.0005109
p-value 1.00e-03
95% CI [0.0004746, 0.0005468]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.558
Model: NNLS Adj. R-squared: 0.558
No. Observations: 682 RMSE: 235.25
Df Residuals: 680 MAE: 187.68
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 402.5629 25.9792 0.001 352.3878 454.5131
opcount 0.0005 0.0000 0.001 0.0005 0.0005
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================DELEGATECALL · test_ext_account_query_warm · combo DELEGATECALL · reth
nobs 1056
R² 0.9196
coef (ms) 4.738e-05
p-value 1.00e-03
95% CI [4.643e-05, 4.83e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.920
Model: NNLS Adj. R-squared: 0.919
No. Observations: 1056 RMSE: 7.25
Df Residuals: 1054 MAE: 5.98
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 16.4318 0.8044 0.001 14.8430 18.0389
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 286
R² 0.583
coef (ms) 0.0003921
p-value 1.00e-03
95% CI [0.0003552, 0.0004321]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.583
Model: NNLS Adj. R-squared: 0.581
No. Observations: 286 RMSE: 85.15
Df Residuals: 284 MAE: 67.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 212.4181 17.2821 0.001 177.8930 244.9350
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · erigon
nobs 418
R² 0.7352
coef (ms) 6.391e-05
p-value 1.00e-03
95% CI [6.022e-05, 6.759e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.735
No. Observations: 418 RMSE: 9.85
Df Residuals: 416 MAE: 8.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.3031 1.5615 0.001 41.1097 47.2400
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] · geth
nobs 561
R² 0.9378
coef (ms) 0.0008106
p-value 1.00e-03
95% CI [0.0007944, 0.0008279]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 561 RMSE: 53.58
Df Residuals: 559 MAE: 40.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9030 6.2938 0.001 10.2273 35.0054
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · nethermind
nobs 682
R² 0.7251
coef (ms) 0.0003169
p-value 1.00e-03
95% CI [0.0003016, 0.0003317]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.725
Model: NNLS Adj. R-squared: 0.725
No. Observations: 682 RMSE: 50.09
Df Residuals: 680 MAE: 37.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 120.3152 5.6427 0.001 109.9056 131.6889
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · reth
nobs 1056
R² 0.7327
coef (ms) 1.634e-05
p-value 1.00e-03
95% CI [1.573e-05, 1.693e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.733
Model: NNLS Adj. R-squared: 0.732
No. Observations: 1056 RMSE: 2.53
Df Residuals: 1054 MAE: 1.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2516 0.2418 0.001 5.8075 6.7497
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 286
R² 0.7232
coef (ms) 0.001869
p-value 1.00e-03
95% CI [0.001733, 0.001998]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.723
Model: NNLS Adj. R-squared: 0.722
No. Observations: 286 RMSE: 114.25
Df Residuals: 284 MAE: 90.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 420.6476 21.5166 0.001 379.8994 465.5150
opcount 0.0019 0.0001 0.001 0.0017 0.0020
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · erigon
nobs 418
R² 0.858
coef (ms) 0.0003228
p-value 1.00e-03
95% CI [0.0003104, 0.0003345]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.858
Model: NNLS Adj. R-squared: 0.858
No. Observations: 418 RMSE: 12.98
Df Residuals: 416 MAE: 10.88
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.0441 2.0473 0.001 40.3566 48.0134
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 · geth
nobs 561
R² 0.9787
coef (ms) 0.002852
p-value 1.00e-03
95% CI [0.002818, 0.002888]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.979
Model: NNLS Adj. R-squared: 0.979
No. Observations: 561 RMSE: 41.54
Df Residuals: 559 MAE: 32.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 34.9740 5.2015 0.001 24.5637 44.9688
opcount 0.0029 0.0000 0.001 0.0028 0.0029
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · nethermind
nobs 682
R² 0.7322
coef (ms) 0.001152
p-value 1.00e-03
95% CI [0.001096, 0.001211]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.732
Model: NNLS Adj. R-squared: 0.732
No. Observations: 682 RMSE: 68.82
Df Residuals: 680 MAE: 55.45
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 196.6337 8.3367 0.001 180.1018 212.1298
opcount 0.0012 0.0000 0.001 0.0011 0.0012
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.EXISTING_CONTRACT · reth
nobs 1056
R² 0.7751
coef (ms) 7.837e-05
p-value 1.00e-03
95% CI [7.563e-05, 8.13e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.775
Model: NNLS Adj. R-squared: 0.775
No. Observations: 1056 RMSE: 4.17
Df Residuals: 1054 MAE: 3.22
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.1438 0.4642 0.001 10.1795 12.0346
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 286
R² 0.583
coef (ms) 0.0003921
p-value 1.00e-03
95% CI [0.0003552, 0.0004321]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.583
Model: NNLS Adj. R-squared: 0.581
No. Observations: 286 RMSE: 85.15
Df Residuals: 284 MAE: 67.73
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 212.4181 17.2821 0.001 177.8930 244.9350
opcount 0.0004 0.0000 0.001 0.0004 0.0004
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · erigon
nobs 418
R² 0.7352
coef (ms) 6.391e-05
p-value 1.00e-03
95% CI [6.022e-05, 6.759e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.735
Model: NNLS Adj. R-squared: 0.735
No. Observations: 418 RMSE: 9.85
Df Residuals: 416 MAE: 8.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 44.3031 1.5615 0.001 41.1097 47.2400
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] · geth
nobs 561
R² 0.9378
coef (ms) 0.0008106
p-value 1.00e-03
95% CI [0.0007944, 0.0008279]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.938
Model: NNLS Adj. R-squared: 0.938
No. Observations: 561 RMSE: 53.58
Df Residuals: 559 MAE: 40.04
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 22.9030 6.2938 0.001 10.2273 35.0054
opcount 0.0008 0.0000 0.001 0.0008 0.0008
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · nethermind
nobs 682
R² 0.7251
coef (ms) 0.0003169
p-value 1.00e-03
95% CI [0.0003016, 0.0003317]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.725
Model: NNLS Adj. R-squared: 0.725
No. Observations: 682 RMSE: 50.09
Df Residuals: 680 MAE: 37.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 120.3152 5.6427 0.001 109.9056 131.6889
opcount 0.0003 0.0000 0.001 0.0003 0.0003
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODECOPY · test_account_access · combo EXTCODECOPY_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · reth
nobs 1056
R² 0.7327
coef (ms) 1.634e-05
p-value 1.00e-03
95% CI [1.573e-05, 1.693e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.733
Model: NNLS Adj. R-squared: 0.732
No. Observations: 1056 RMSE: 2.53
Df Residuals: 1054 MAE: 1.86
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.2516 0.2418 0.001 5.8075 6.7497
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 286
R² 0.8317
coef (ms) 0.01061
p-value 1.00e-03
95% CI [0.01004, 0.01118]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 286 RMSE: 114.05
Df Residuals: 284 MAE: 95.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 420.6799 23.2092 0.001 376.1825 467.0201
opcount 0.0106 0.0003 0.001 0.0100 0.0112
==============================================================================
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 418
R² 0.9955
coef (ms) 0.008628
p-value 1.00e-03
95% CI [0.008572, 0.008682]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 13.91
Df Residuals: 416 MAE: 10.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4905 2.1597 0.001 8.5185 17.0440
opcount 0.0086 0.0000 0.001 0.0086 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 561
R² 0.6666
coef (ms) 0.03858
p-value 1.00e-03
95% CI [0.03632, 0.04108]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.667
Model: NNLS Adj. R-squared: 0.666
No. Observations: 561 RMSE: 652.16
Df Residuals: 559 MAE: 551.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1157.7273 82.4163 0.001 986.6898 1312.6548
opcount 0.0386 0.0012 0.001 0.0363 0.0411
==============================================================================
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 682
R² 0.7695
coef (ms) 0.005077
p-value 1.00e-03
95% CI [0.004868, 0.005295]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 682 RMSE: 66.40
Df Residuals: 680 MAE: 51.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.5002 7.3075 0.001 15.4564 43.8379
opcount 0.0051 0.0001 0.001 0.0049 0.0053
==============================================================================
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 1056
R² 0.9698
coef (ms) 0.0009145
p-value 1.00e-03
95% CI [0.000905, 0.0009241]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 1056 RMSE: 3.86
Df Residuals: 1054 MAE: 3.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0990 0.3970 0.001 31.3387 32.9117
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 286
R² 0.8932
coef (ms) 0.0317
p-value 1.00e-03
95% CI [0.03036, 0.03295]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.893
Model: NNLS Adj. R-squared: 0.893
No. Observations: 286 RMSE: 228.03
Df Residuals: 284 MAE: 176.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 388.7523 42.5263 0.001 303.6207 472.4043
opcount 0.0317 0.0007 0.001 0.0304 0.0330
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · erigon
nobs 418
R² 0.8946
coef (ms) 0.03586
p-value 1.00e-03
95% CI [0.03468, 0.03698]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.895
Model: NNLS Adj. R-squared: 0.894
No. Observations: 418 RMSE: 256.10
Df Residuals: 416 MAE: 215.89
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 427.3062 43.4548 0.001 345.2601 512.9334
opcount 0.0359 0.0006 0.001 0.0347 0.0370
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · geth
nobs 561
R² 0.6274
coef (ms) 0.0344
p-value 1.00e-03
95% CI [0.03212, 0.03652]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.627
Model: NNLS Adj. R-squared: 0.627
No. Observations: 561 RMSE: 551.49
Df Residuals: 559 MAE: 454.35
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1333.2670 70.7989 0.001 1199.3609 1474.2298
opcount 0.0344 0.0011 0.001 0.0321 0.0365
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · nethermind
nobs 682
R² 0.7833
coef (ms) 0.02032
p-value 1.00e-03
95% CI [0.01954, 0.02103]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.783
No. Observations: 682 RMSE: 222.32
Df Residuals: 680 MAE: 154.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 219.6562 23.6627 0.001 172.9214 265.8773
opcount 0.0203 0.0004 0.001 0.0195 0.0210
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.EXISTING_CONTRACT · reth
nobs 1056
R² 0.8746
coef (ms) 0.03554
p-value 1.00e-03
95% CI [0.03474, 0.03646]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.875
Model: NNLS Adj. R-squared: 0.874
No. Observations: 1056 RMSE: 279.99
Df Residuals: 1054 MAE: 157.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 192.8474 28.5144 0.001 132.3808 247.2720
opcount 0.0355 0.0004 0.001 0.0347 0.0365
==============================================================================
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 286
R² 0.8317
coef (ms) 0.01061
p-value 1.00e-03
95% CI [0.01004, 0.01118]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.832
Model: NNLS Adj. R-squared: 0.831
No. Observations: 286 RMSE: 114.05
Df Residuals: 284 MAE: 95.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 420.6799 23.2092 0.001 376.1825 467.0201
opcount 0.0106 0.0003 0.001 0.0100 0.0112
==============================================================================
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 418
R² 0.9955
coef (ms) 0.008628
p-value 1.00e-03
95% CI [0.008572, 0.008682]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 13.91
Df Residuals: 416 MAE: 10.53
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.4905 2.1597 0.001 8.5185 17.0440
opcount 0.0086 0.0000 0.001 0.0086 0.0087
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_account_access · combo EXTCODEHASH_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 561
R² 0.6666
coef (ms) 0.03858
p-value 1.00e-03
95% CI [0.03632, 0.04108]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.667
Model: NNLS Adj. R-squared: 0.666
No. Observations: 561 RMSE: 652.16
Df Residuals: 559 MAE: 551.55
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1157.7273 82.4163 0.001 986.6898 1312.6548
opcount 0.0386 0.0012 0.001 0.0363 0.0411
==============================================================================
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 682
R² 0.7695
coef (ms) 0.005077
p-value 1.00e-03
95% CI [0.004868, 0.005295]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 682 RMSE: 66.40
Df Residuals: 680 MAE: 51.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 30.5002 7.3075 0.001 15.4564 43.8379
opcount 0.0051 0.0001 0.001 0.0049 0.0053
==============================================================================
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 1056
R² 0.9698
coef (ms) 0.0009145
p-value 1.00e-03
95% CI [0.000905, 0.0009241]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.970
Model: NNLS Adj. R-squared: 0.970
No. Observations: 1056 RMSE: 3.86
Df Residuals: 1054 MAE: 3.03
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.0990 0.3970 0.001 31.3387 32.9117
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 286
R² 0.6441
coef (ms) 0.0001429
p-value 1.00e-03
95% CI [0.0001294, 0.0001558]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.644
Model: NNLS Adj. R-squared: 0.643
No. Observations: 286 RMSE: 62.14
Df Residuals: 284 MAE: 48.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 182.4175 12.8891 0.001 158.8791 208.8183
opcount 0.0001 0.0000 0.001 0.0001 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · erigon
nobs 418
R² 0.9105
coef (ms) 0.0002649
p-value 1.00e-03
95% CI [0.0002572, 0.0002731]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.910
Model: NNLS Adj. R-squared: 0.910
No. Observations: 418 RMSE: 48.57
Df Residuals: 416 MAE: 39.71
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 46.8745 6.8314 0.001 33.4932 59.9743
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 · geth
nobs 561
R² 0.9648
coef (ms) 0.0001977
p-value 1.00e-03
95% CI [0.0001943, 0.0002011]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.965
Model: NNLS Adj. R-squared: 0.965
No. Observations: 561 RMSE: 22.07
Df Residuals: 559 MAE: 16.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.9347 2.7529 0.005 1.3806 12.4345
opcount 0.0002 0.0000 0.001 0.0002 0.0002
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODEHASH · test_ext_account_query_warm · combo EXTCODEHASH · nethermind
nobs 682
R² 0.6134
coef (ms) 0.0002368
p-value 1.00e-03
95% CI [0.0002222, 0.0002508]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.613
Model: NNLS Adj. R-squared: 0.613
No. Observations: 682 RMSE: 109.93
Df Residuals: 680 MAE: 87.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 119.8529 12.1896 0.001 96.3837 144.1412
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 1056
R² 0.6781
coef (ms) 7.656e-06
p-value 1.00e-03
95% CI [7.317e-06, 7.985e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.678
Model: NNLS Adj. R-squared: 0.678
No. Observations: 1056 RMSE: 3.08
Df Residuals: 1054 MAE: 2.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 6.5662 0.3115 0.001 5.9507 7.1734
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 286
R² 0.8329
coef (ms) 0.01065
p-value 1.00e-03
95% CI [0.01014, 0.01122]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.832
No. Observations: 286 RMSE: 114.01
Df Residuals: 284 MAE: 96.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 417.0410 22.3278 0.001 372.5417 459.4166
opcount 0.0106 0.0003 0.001 0.0101 0.0112
==============================================================================
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 418
R² 0.996
coef (ms) 0.008841
p-value 1.00e-03
95% CI [0.008787, 0.008894]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 13.32
Df Residuals: 416 MAE: 10.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5064 2.2397 0.001 7.0031 15.4977
opcount 0.0088 0.0000 0.001 0.0088 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · geth
nobs 561
R² 0.6535
coef (ms) 0.0372
p-value 1.00e-03
95% CI [0.03471, 0.03955]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.653
Model: NNLS Adj. R-squared: 0.653
No. Observations: 561 RMSE: 647.37
Df Residuals: 559 MAE: 544.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1227.0102 83.3792 0.001 1069.0609 1395.5582
opcount 0.0372 0.0012 0.001 0.0347 0.0396
==============================================================================
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 682
R² 0.7823
coef (ms) 0.004918
p-value 1.00e-03
95% CI [0.004716, 0.005103]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.782
No. Observations: 682 RMSE: 61.99
Df Residuals: 680 MAE: 49.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.0217 6.9952 0.001 25.6318 52.3769
opcount 0.0049 0.0001 0.001 0.0047 0.0051
==============================================================================
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 1056
R² 0.9668
coef (ms) 0.0009176
p-value 1.00e-03
95% CI [0.0009078, 0.0009277]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 1056 RMSE: 4.06
Df Residuals: 1054 MAE: 3.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.9214 0.3967 0.001 31.1003 32.6675
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 286
R² 0.8804
coef (ms) 0.03184
p-value 1.00e-03
95% CI [0.03057, 0.03316]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.880
Model: NNLS Adj. R-squared: 0.880
No. Observations: 286 RMSE: 244.16
Df Residuals: 284 MAE: 189.50
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 379.5633 42.7431 0.001 291.2857 458.9452
opcount 0.0318 0.0007 0.001 0.0306 0.0332
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · erigon
nobs 418
R² 0.8709
coef (ms) 0.08608
p-value 1.00e-03
95% CI [0.08292, 0.08927]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.871
Model: NNLS Adj. R-squared: 0.871
No. Observations: 418 RMSE: 689.64
Df Residuals: 416 MAE: 583.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1524.1649 123.1609 0.001 1279.1004 1756.1797
opcount 0.0861 0.0016 0.001 0.0829 0.0893
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · geth
nobs 561
R² 0.7292
coef (ms) 0.04026
p-value 1.00e-03
95% CI [0.0381, 0.04232]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.729
Model: NNLS Adj. R-squared: 0.729
No. Observations: 561 RMSE: 510.37
Df Residuals: 559 MAE: 418.32
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1066.0585 62.2065 0.001 947.7730 1193.9413
opcount 0.0403 0.0011 0.001 0.0381 0.0423
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · nethermind
nobs 682
R² 0.7758
coef (ms) 0.01996
p-value 1.00e-03
95% CI [0.01916, 0.02078]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.776
Model: NNLS Adj. R-squared: 0.775
No. Observations: 682 RMSE: 223.29
Df Residuals: 680 MAE: 155.28
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 226.9765 24.9282 0.001 178.5611 274.5454
opcount 0.0200 0.0004 0.001 0.0192 0.0208
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.EXISTING_CONTRACT · reth
nobs 1056
R² 0.8992
coef (ms) 0.03504
p-value 1.00e-03
95% CI [0.03423, 0.03582]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.899
Model: NNLS Adj. R-squared: 0.899
No. Observations: 1056 RMSE: 244.12
Df Residuals: 1054 MAE: 145.15
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 228.1705 27.8350 0.001 176.4368 281.9659
opcount 0.0350 0.0004 0.001 0.0342 0.0358
==============================================================================
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 286
R² 0.8329
coef (ms) 0.01065
p-value 1.00e-03
95% CI [0.01014, 0.01122]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.833
Model: NNLS Adj. R-squared: 0.832
No. Observations: 286 RMSE: 114.01
Df Residuals: 284 MAE: 96.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 417.0410 22.3278 0.001 372.5417 459.4166
opcount 0.0106 0.0003 0.001 0.0101 0.0112
==============================================================================
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 418
R² 0.996
coef (ms) 0.008841
p-value 1.00e-03
95% CI [0.008787, 0.008894]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 13.32
Df Residuals: 416 MAE: 10.74
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 11.5064 2.2397 0.001 7.0031 15.4977
opcount 0.0088 0.0000 0.001 0.0088 0.0089
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================EXTCODESIZE · test_account_access · combo EXTCODESIZE_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_code_access] · geth
nobs 561
R² 0.6535
coef (ms) 0.0372
p-value 1.00e-03
95% CI [0.03471, 0.03955]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.653
Model: NNLS Adj. R-squared: 0.653
No. Observations: 561 RMSE: 647.37
Df Residuals: 559 MAE: 544.36
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1227.0102 83.3792 0.001 1069.0609 1395.5582
opcount 0.0372 0.0012 0.001 0.0347 0.0396
==============================================================================
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 682
R² 0.7823
coef (ms) 0.004918
p-value 1.00e-03
95% CI [0.004716, 0.005103]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.782
Model: NNLS Adj. R-squared: 0.782
No. Observations: 682 RMSE: 61.99
Df Residuals: 680 MAE: 49.12
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 38.0217 6.9952 0.001 25.6318 52.3769
opcount 0.0049 0.0001 0.001 0.0047 0.0051
==============================================================================
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 1056
R² 0.9668
coef (ms) 0.0009176
p-value 1.00e-03
95% CI [0.0009078, 0.0009277]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.967
Model: NNLS Adj. R-squared: 0.967
No. Observations: 1056 RMSE: 4.06
Df Residuals: 1054 MAE: 3.20
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.9214 0.3967 0.001 31.1003 32.6675
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 286
R² 0.6399
coef (ms) 0.0001309
p-value 1.00e-03
95% CI [0.0001195, 0.0001432]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.640
Model: NNLS Adj. R-squared: 0.639
No. Observations: 286 RMSE: 57.43
Df Residuals: 284 MAE: 45.61
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 204.6688 11.5596 0.001 181.7621 226.9720
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 418
R² 0.7697
coef (ms) 4.084e-05
p-value 1.00e-03
95% CI [3.857e-05, 4.312e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.770
Model: NNLS Adj. R-squared: 0.769
No. Observations: 418 RMSE: 13.06
Df Residuals: 416 MAE: 10.48
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 45.2346 1.9112 0.001 41.4991 49.0183
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 561
R² 0.9736
coef (ms) 0.0001459
p-value 1.00e-03
95% CI [0.0001439, 0.0001477]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 561 RMSE: 14.04
Df Residuals: 559 MAE: 9.97
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 12.5073 1.6679 0.001 9.4157 15.7935
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 · nethermind
nobs 682
R² 0.6787
coef (ms) 0.0001862
p-value 1.00e-03
95% CI [0.0001764, 0.0001962]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.679
Model: NNLS Adj. R-squared: 0.678
No. Observations: 682 RMSE: 74.91
Df Residuals: 680 MAE: 61.24
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 76.7320 9.1033 0.001 58.7889 94.9055
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 1056
R² 0.6644
coef (ms) 5.683e-06
p-value 1.00e-03
95% CI [5.404e-06, 5.952e-06]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.664
Model: NNLS Adj. R-squared: 0.664
No. Observations: 1056 RMSE: 2.36
Df Residuals: 1054 MAE: 1.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 5.0382 0.2384 0.001 4.5873 5.5235
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 286
R² 0.6838
coef (ms) 0.01933
p-value 1.00e-03
95% CI [0.01776, 0.02079]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.684
Model: NNLS Adj. R-squared: 0.683
No. Observations: 286 RMSE: 312.41
Df Residuals: 284 MAE: 229.44
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 561.4273 52.7785 0.001 457.6148 665.8726
opcount 0.0193 0.0008 0.001 0.0178 0.0208
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · erigon
nobs 418
R² 0.9956
coef (ms) 0.0103
p-value 1.00e-03
95% CI [0.01023, 0.01036]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.996
Model: NNLS Adj. R-squared: 0.996
No. Observations: 418 RMSE: 16.32
Df Residuals: 416 MAE: 12.84
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 41.7728 2.3860 0.001 37.2317 46.7279
opcount 0.0103 0.0000 0.001 0.0102 0.0104
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · geth
nobs 561
R² 0.7122
coef (ms) 0.01234
p-value 1.00e-03
95% CI [0.01172, 0.01302]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.712
Model: NNLS Adj. R-squared: 0.712
No. Observations: 561 RMSE: 186.52
Df Residuals: 559 MAE: 158.40
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 509.2433 25.0730 0.001 459.0982 555.5250
opcount 0.0123 0.0003 0.001 0.0117 0.0130
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · nethermind
nobs 682
R² 0.7927
coef (ms) 0.006083
p-value 1.00e-03
95% CI [0.005862, 0.006314]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.793
Model: NNLS Adj. R-squared: 0.792
No. Observations: 682 RMSE: 73.97
Df Residuals: 680 MAE: 56.17
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 57.9798 8.0937 0.001 41.5079 73.5463
opcount 0.0061 0.0001 0.001 0.0059 0.0063
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_EOA · reth
nobs 1056
R² 0.9731
coef (ms) 0.001133
p-value 1.00e-03
95% CI [0.001122, 0.001145]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1056 RMSE: 4.48
Df Residuals: 1054 MAE: 3.51
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 32.3579 0.4842 0.001 31.3800 33.2954
opcount 0.0011 0.0000 0.001 0.0011 0.0011
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.NON_EXISTING_ACCOUNT` — `presets[cold_account_nocode_access] · besu
nobs 286
R² 0.8348
coef (ms) 0.01285
p-value 1.00e-03
95% CI [0.0122, 0.01358]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.834
No. Observations: 286 RMSE: 135.91
Df Residuals: 284 MAE: 108.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 525.7708 26.3281 0.001 469.5713 574.7974
opcount 0.0128 0.0003 0.001 0.0122 0.0136
==============================================================================
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 418
R² 0.9954
coef (ms) 0.01181
p-value 1.00e-03
95% CI [0.01176, 0.01184]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 19.14
Df Residuals: 416 MAE: 15.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.7201 1.000 0.0000 2.7102
opcount 0.0118 0.0000 0.001 0.0118 0.0118
==============================================================================
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 561
R² 0.6322
coef (ms) 0.03315
p-value 1.00e-03
95% CI [0.03086, 0.03542]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.632
Model: NNLS Adj. R-squared: 0.632
No. Observations: 561 RMSE: 601.03
Df Residuals: 559 MAE: 486.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1416.6405 82.2612 0.001 1254.1636 1578.7844
opcount 0.0331 0.0012 0.001 0.0309 0.0354
==============================================================================
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 682
R² 0.7834
coef (ms) 0.005564
p-value 1.00e-03
95% CI [0.005321, 0.005802]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.783
No. Observations: 682 RMSE: 69.56
Df Residuals: 680 MAE: 52.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.4394 7.7437 0.001 57.7234 87.2232
opcount 0.0056 0.0001 0.001 0.0053 0.0058
==============================================================================
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 1056
R² 0.9726
coef (ms) 0.0009768
p-value 1.00e-03
95% CI [0.0009667, 0.0009865]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1056 RMSE: 3.90
Df Residuals: 1054 MAE: 3.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5165 0.3875 0.001 30.7543 32.3016
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · besu
nobs 286
R² 0.8961
coef (ms) 0.03394
p-value 1.00e-03
95% CI [0.03276, 0.03523]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.896
Model: NNLS Adj. R-squared: 0.896
No. Observations: 286 RMSE: 235.34
Df Residuals: 284 MAE: 189.96
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 423.3945 39.3096 0.001 342.0565 495.6362
opcount 0.0339 0.0006 0.001 0.0328 0.0352
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · erigon
nobs 418
R² 0.872
coef (ms) 0.08761
p-value 1.00e-03
95% CI [0.08445, 0.0905]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.872
Model: NNLS Adj. R-squared: 0.872
No. Observations: 418 RMSE: 683.80
Df Residuals: 416 MAE: 579.95
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1481.3545 120.4529 0.001 1260.5021 1723.9184
opcount 0.0876 0.0016 0.001 0.0844 0.0905
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · geth
nobs 561
R² 0.6969
coef (ms) 0.04166
p-value 1.00e-03
95% CI [0.03933, 0.04419]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.697
Model: NNLS Adj. R-squared: 0.696
No. Observations: 561 RMSE: 559.65
Df Residuals: 559 MAE: 462.01
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1069.1002 70.6682 0.001 928.5773 1200.6791
opcount 0.0417 0.0012 0.001 0.0393 0.0442
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · nethermind
nobs 682
R² 0.7728
coef (ms) 0.02086
p-value 1.00e-03
95% CI [0.02002, 0.02164]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.773
Model: NNLS Adj. R-squared: 0.772
No. Observations: 682 RMSE: 230.41
Df Residuals: 680 MAE: 165.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 255.0589 25.8841 0.001 207.9916 307.3310
opcount 0.0209 0.0004 0.001 0.0200 0.0216
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_account_access · combo STATICCALL_AccountMode.EXISTING_CONTRACT · reth
nobs 1056
R² 0.8908
coef (ms) 0.03572
p-value 1.00e-03
95% CI [0.03488, 0.03655]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.891
Model: NNLS Adj. R-squared: 0.891
No. Observations: 1056 RMSE: 254.79
Df Residuals: 1054 MAE: 147.72
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 196.6867 27.2779 0.001 143.5697 250.6574
opcount 0.0357 0.0004 0.001 0.0349 0.0366
==============================================================================
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 286
R² 0.8348
coef (ms) 0.01285
p-value 1.00e-03
95% CI [0.0122, 0.01358]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.835
Model: NNLS Adj. R-squared: 0.834
No. Observations: 286 RMSE: 135.91
Df Residuals: 284 MAE: 108.90
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 525.7708 26.3281 0.001 469.5713 574.7974
opcount 0.0128 0.0003 0.001 0.0122 0.0136
==============================================================================
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 418
R² 0.9954
coef (ms) 0.01181
p-value 1.00e-03
95% CI [0.01176, 0.01184]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.995
Model: NNLS Adj. R-squared: 0.995
No. Observations: 418 RMSE: 19.14
Df Residuals: 416 MAE: 15.08
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 0.0000 0.7201 1.000 0.0000 2.7102
opcount 0.0118 0.0000 0.001 0.0118 0.0118
==============================================================================
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 561
R² 0.6322
coef (ms) 0.03315
p-value 1.00e-03
95% CI [0.03086, 0.03542]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.632
Model: NNLS Adj. R-squared: 0.632
No. Observations: 561 RMSE: 601.03
Df Residuals: 559 MAE: 486.64
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 1416.6405 82.2612 0.001 1254.1636 1578.7844
opcount 0.0331 0.0012 0.001 0.0309 0.0354
==============================================================================
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 682
R² 0.7834
coef (ms) 0.005564
p-value 1.00e-03
95% CI [0.005321, 0.005802]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.783
Model: NNLS Adj. R-squared: 0.783
No. Observations: 682 RMSE: 69.56
Df Residuals: 680 MAE: 52.42
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 72.4394 7.7437 0.001 57.7234 87.2232
opcount 0.0056 0.0001 0.001 0.0053 0.0058
==============================================================================
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 1056
R² 0.9726
coef (ms) 0.0009768
p-value 1.00e-03
95% CI [0.0009667, 0.0009865]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.973
Model: NNLS Adj. R-squared: 0.973
No. Observations: 1056 RMSE: 3.90
Df Residuals: 1054 MAE: 3.09
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 31.5165 0.3875 0.001 30.7543 32.3016
opcount 0.0010 0.0000 0.001 0.0010 0.0010
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · besu
nobs 286
R² 0.9635
coef (ms) 0.001308
p-value 1.00e-03
95% CI [0.001275, 0.001338]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.964
Model: NNLS Adj. R-squared: 0.963
No. Observations: 286 RMSE: 131.72
Df Residuals: 284 MAE: 106.77
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 709.1301 27.5639 0.001 656.6987 766.1418
opcount 0.0013 0.0000 0.001 0.0013 0.0013
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · erigon
nobs 418
R² 0.8826
coef (ms) 0.0005056
p-value 1.00e-03
95% CI [0.0004854, 0.0005254]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.883
Model: NNLS Adj. R-squared: 0.882
No. Observations: 418 RMSE: 95.45
Df Residuals: 416 MAE: 70.63
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 54.0917 14.5075 0.001 25.8247 82.2230
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 · geth
nobs 561
R² 0.9742
coef (ms) 0.0006563
p-value 1.00e-03
95% CI [0.0006472, 0.0006651]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.974
Model: NNLS Adj. R-squared: 0.974
No. Observations: 561 RMSE: 55.25
Df Residuals: 559 MAE: 41.62
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 14.0786 6.6702 0.018 0.7412 27.9110
opcount 0.0007 0.0000 0.001 0.0006 0.0007
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================STATICCALL · test_ext_account_query_warm · combo STATICCALL · nethermind
nobs 682
R² 0.5691
coef (ms) 0.0005083
p-value 1.00e-03
95% CI [0.0004751, 0.0005404]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.569
Model: NNLS Adj. R-squared: 0.568
No. Observations: 682 RMSE: 228.95
Df Residuals: 680 MAE: 184.16
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 385.1312 24.7178 0.001 338.0910 434.5309
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 · reth
nobs 1056
R² 0.9109
coef (ms) 4.59e-05
p-value 1.00e-03
95% CI [4.496e-05, 4.678e-05]
NNLS regression summary
==============================================================================
NNLS Regression Results
==============================================================================
Dep. Variable: test_runtime_ms R-squared: 0.911
Model: NNLS Adj. R-squared: 0.911
No. Observations: 1056 RMSE: 7.43
Df Residuals: 1054 MAE: 6.02
Df Model: 1
==============================================================================
coef std err P-value [0.025 0.975]
------------------------------------------------------------------------------
const 19.1654 0.8060 0.001 17.7148 20.8395
opcount 0.0000 0.0000 0.001 0.0000 0.0000
==============================================================================
Notes: Non-negative least squares with bootstrap inference (1000 iterations)
==============================================================================