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WP35 Phases 4–5: modern-panel H2 (rerun with corrected placebo/negative control), simulation runs and analysis

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Simon-Pierre Boucher committed (Nov 1, 2026) parent b2e5fb2 Browse files

23 changed files +2,539 −7

23 changed files
Unified Split
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added results/empirical/h4_modern_curve.csv +41 −0
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modified results/logs/execution_log.md +2 −0
@@ -25,3 +25,5 @@
25 25 | 2026-11-01 06:00 | 4 | `python -m wp35.econometrics.h2_modern` run 1 (placebo collinear with polyarchy control; negative control separated by duration terms → specs fixed, run 2 launched) | `results/empirical/h2_modern_*.csv`, `h4_modern_*`, `h5_modern_blocks.csv` |
26 26 | 2026-11-01 06:10 | 4 | `research/identification.md` written | — |
27 27 | 2026-11-01 06:20 | 5 | Simulation model + factorial runner written; smoke test showed message count bug (scalar) and root saturation → fixed, admin capacity made a factor; `python -m wp35.simulations.run_experiments` | `results/simulated/runs_main.parquet` (6,048 runs), `runs_ablation.parquet` (488 runs) |
28 +| 2026-11-01 06:40 | 4 | `python -m wp35.econometrics.h2_modern` run 2 (placebo without polyarchy control; negative control without duration terms; H4 curve export) | `results/empirical/h2_modern_primary.csv`, `h2_modern_robustness.csv`, `h2_modern_cv_*`, `h4_modern_*`, `h5_modern_blocks.csv` |
29 +| 2026-11-01 06:50 | 5 | Simulation model revised after inspection (Shannon code lengths to match Theorem 3; symmetric link removal 50%; spatially correlated dialects; fixed pre/post window for difference-in-differences; high-gain break-even cells) ; `run_experiments` + `analyze` rerun | `results/simulated/runs_main.parquet` (6,048), `runs_ablation.parquet` (584), `simulation_summary.json`, `cells_main.csv`, `paired_vs_none.csv`, `institution_loss_shares.csv`, `shock_effects.csv`, `ablation_*.csv`; figures `fig_sim_*.pdf` |
modified results/logs/h2_modern_run.log +94 −0
@@ -2,3 +2,97 @@
2 2 warnings.warn(msg)
3 3 /Users/simon-pierreboucher/Desktop/UQO/Recherche/Recherche-UQO/economie/social-compression-hypothesis/.venv/lib/python3.12/site-packages/statsmodels/base/model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
4 4 warnings.warn("Maximum Likelihood optimization failed to "
5 +=== PRIMARY ===
6 + model term coef se p n events
7 + C1 primary: Y456 ~ P + X + region FE + year FE P_modern_z 0.398 0.089 0.000 14637 2692.0
8 + C2: Y456 ~ P + FE only P_modern_z 0.723 0.080 0.000 15687 2981.0
9 + C3: Y456 ~ P + K + X + FE (P given K) P_modern_z 0.229 0.094 0.015 14637 2692.0
10 + B1 baseline population only D_modern_z 0.126 0.071 0.076 14754 2710.0
11 + B2 baseline capacity only K_modern_z -0.632 0.126 0.000 15675 2957.0
12 + B3 baseline development (gdppc) only log_gdppc -0.557 0.095 0.000 15862 2980.0
13 + B4 baseline persistence y456_b5 0.136 0.133 0.307 15806 2968.0
14 + B5 D and K separately D_modern_z 0.170 0.070 0.015 14637 2692.0
15 + B5 D and K separately K_modern_z -0.707 0.137 0.000 14637 NaN
16 + Placebo: P with polyarchy in place of K (polyarchy not separately controlled) P_placebo_z 0.197 0.059 0.001 14754 2710.0
17 + Placebo comparison: P_main with the same controls as the placebo P_modern_z 0.446 0.083 0.000 14676 2706.0
18 +Negative control: past events (t-5..t-1) ~ P_t + gdppc + polyarchy + FE (no duration terms) P_modern_z 0.436 0.098 0.000 14608 2757.0
19 + Forward comparison for the negative control: future events ~ P_t + gdppc + polyarchy + FE P_modern_z 0.475 0.099 0.000 14637 2692.0
20 + C4: conditional logit, country FE + decade FE P_modern_z 1.314 0.098 0.000 14637 2692.0
21 + C5: linear probability, country + year FE P_modern_z_dm 0.111 0.031 0.000 14637 2692.0
22 +
23 +=== OOS wins ===
24 + model baseline folds win_share mean_diff scheme metric
25 + C1 P B0 FE+X 2 0.500 -0.000 forward oos_loglik
26 + C1 P B0 FE+X 2 1.000 0.005 forward auc
27 + C1 P B1 D 2 0.500 0.000 forward oos_loglik
28 + C1 P B1 D 2 1.000 0.004 forward auc
29 + C1 P B2 K 2 0.000 -0.003 forward oos_loglik
30 + C1 P B2 K 2 0.000 -0.004 forward auc
31 + C1 P B4 persistence 2 1.000 0.002 forward oos_loglik
32 + C1 P B4 persistence 2 1.000 0.010 forward auc
33 + C1 P B5 D+K 2 0.000 -0.002 forward oos_loglik
34 + C1 P B5 D+K 2 0.000 -0.006 forward auc
35 + C1 P B0 FE+X 6 0.833 -0.000 loro oos_loglik
36 + C1 P B0 FE+X 6 0.833 0.008 loro auc
37 + C1 P B1 D 6 0.833 0.001 loro oos_loglik
38 + C1 P B1 D 6 1.000 0.007 loro auc
39 + C1 P B2 K 6 0.167 -0.009 loro oos_loglik
40 + C1 P B2 K 6 0.500 0.002 loro auc
41 + C1 P B4 persistence 6 0.833 -0.001 loro oos_loglik
42 + C1 P B4 persistence 6 0.667 0.008 loro auc
43 + C1 P B5 D+K 6 0.167 -0.008 loro oos_loglik
44 + C1 P B5 D+K 6 0.500 -0.001 loro auc
45 +
46 +=== OOS summary ===
47 + scheme model oos_loglik auc brier calibration_slope
48 +forward B0 FE+X -0.334 0.768 0.102 0.966
49 +forward B1 D -0.334 0.769 0.103 0.957
50 +forward B2 K -0.331 0.777 0.101 0.986
51 +forward B4 persistence -0.336 0.763 0.103 0.951
52 +forward B5 D+K -0.332 0.779 0.102 0.973
53 +forward C1 P -0.334 0.773 0.103 0.951
54 + loro B0 FE+X -0.518 0.674 0.142 0.437
55 + loro B1 D -0.519 0.674 0.142 0.437
56 + loro B2 K -0.509 0.680 0.139 0.430
57 + loro B4 persistence -0.517 0.674 0.141 0.437
58 + loro B5 D+K -0.510 0.683 0.140 0.431
59 + loro C1 P -0.518 0.681 0.142 0.435
60 +
61 +=== H4 === {
62 + "folds": 15,
63 + "hinge_beats_linear_share": 0.8,
64 + "spline_beats_linear_share": 0.8666666666666667,
65 + "mean_ll_linear": -0.409645164238164,
66 + "mean_ll_hinge": -0.4086639943897043,
67 + "mean_ll_spline": -0.40637513694095,
68 + "median_knot": -0.08085854020686861
69 +}
70 +
71 +=== H5 ===
72 + model coef se p n within_block_coef within_block_se within_block_n within_block_events
73 + H5 leave-region-out: 1.0 0.293 0.094 0.002 13252 1.067 0.432 1385 131
74 + H5 leave-region-out: 2.0 0.328 0.099 0.001 12017 0.542 0.292 2620 773
75 + H5 leave-region-out: 3.0 0.303 0.097 0.002 13175 0.449 0.350 1462 281
76 + H5 leave-region-out: 4.0 0.312 0.117 0.008 11363 0.391 0.167 3274 747
77 + H5 leave-region-out: 5.0 0.294 0.097 0.002 10717 0.781 0.285 3920 350
78 + H5 leave-region-out: 6.0 0.470 0.093 0.000 12661 0.234 0.206 1976 410
79 +H5 leave-period-out: 1900-1945 0.415 0.099 0.000 12616 0.298 0.187 2021 554
80 +H5 leave-period-out: 1946-1989 0.361 0.113 0.001 8927 0.435 0.122 5710 1295
81 + H5 leave-period-out: 1990+ 0.417 0.106 0.000 9285 0.348 0.161 5352 626
82 + H5 leave-period-out: pre-1900 0.394 0.092 0.000 13083 0.665 0.277 1554 217
83 +
84 +=== ROBUSTNESS ===
85 + model term coef se p n events oster_beta_full oster_beta_short partial_r2_P robustness_value
86 + R: horizon h=1 P_modern_z 0.3258 0.0908 0.0003 14635 902.0 NaN NaN NaN NaN
87 + R: horizon h=3 P_modern_z 0.3860 0.0871 0.0000 14636 1911.0 NaN NaN NaN NaN
88 + R: horizon h=10 P_modern_z 0.4532 0.1005 0.0000 14639 4143.0 NaN NaN NaN NaN
89 + R: component y4_f5 P_modern_z 1.0108 0.1970 0.0000 10279 566.0 NaN NaN NaN NaN
90 + R: component y5_f5 P_modern_z 0.1957 0.1369 0.1529 10853 1460.0 NaN NaN NaN NaN
91 + R: component y6_f5 P_modern_z 0.2452 0.0940 0.0091 14636 2068.0 NaN NaN NaN NaN
92 + R: K = PC1 P_modern_pc1_z 0.3972 0.0895 0.0000 14637 2692.0 NaN NaN NaN NaN
93 + R: standardized within year P_modern_within_year_z 0.4091 0.0909 0.0000 14637 2692.0 NaN NaN NaN NaN
94 + R: D = (log pop + log area)/2 P_modern_area_z 0.3520 0.0979 0.0003 11735 2359.0 NaN NaN NaN NaN
95 + R: years ≥ 1900 P_modern_z 0.3941 0.0918 0.0000 13083 2475.0 NaN NaN NaN NaN
96 + R: polyarchy not controlled P_modern_z 0.4463 0.0828 0.0000 14676 2706.0 NaN NaN NaN NaN
97 + R: + persistence control P_modern_z 0.3904 0.0888 0.0000 14598 2682.0 NaN NaN NaN NaN
98 +Sensitivity (LPM): Oster bias-adjusted β at Rmax=1.3·R² (δ=1); Cinelli–Hazlett RV P_modern_z -0.0238 NaN NaN 14637 NaN 0.0383 0.0819 0.0056 0.0719
added results/logs/sim_analyze.log +221 −0
@@ -0,0 +1,221 @@
1 +{
2 + "runs_main": 6048,
3 + "runs_ablation": 584,
4 + "cells_main": 756,
5 + "institution_loss_shares": [
6 + {
7 + "regime": "central",
8 + "admin_capacity_ratio": 0.5,
9 + "welfare_loss": 1.0,
10 + "bits_loss": 1.0,
11 + "success_loss": 1.0,
12 + "n_cells": 108
13 + },
14 + {
15 + "regime": "central",
16 + "admin_capacity_ratio": 2.0,
17 + "welfare_loss": 0.5,
18 + "bits_loss": 0.5,
19 + "success_loss": 0.0,
20 + "n_cells": 108
21 + },
22 + {
23 + "regime": "federated",
24 + "admin_capacity_ratio": 0.5,
25 + "welfare_loss": 0.5556,
26 + "bits_loss": 0.5556,
27 + "success_loss": 0.2222,
28 + "n_cells": 108
29 + },
30 + {
31 + "regime": "federated",
32 + "admin_capacity_ratio": 2.0,
33 + "welfare_loss": 0.5,
34 + "bits_loss": 0.5,
35 + "success_loss": 0.0,
36 + "n_cells": 108
37 + },
38 + {
39 + "regime": "norms",
40 + "admin_capacity_ratio": 2.0,
41 + "welfare_loss": 0.0648,
42 + "bits_loss": 1.0,
43 + "success_loss": 0.0,
44 + "n_cells": 108
45 + },
46 + {
47 + "regime": "records",
48 + "admin_capacity_ratio": 2.0,
49 + "welfare_loss": 0.0,
50 + "bits_loss": 0.5,
51 + "success_loss": 0.0,
52 + "n_cells": 108
53 + }
54 + ],
55 + "theorem_checks": {
56 + "T1_code_shorter_than_raw_when_H_le_log2s_minus_1": true,
57 + "T1_cells_where_code_longer_than_raw": [
58 + {
59 + "s": 64,
60 + "zipf": 0.5,
61 + "H_p_bits": 5.781,
62 + "L_code_bits": 6.236,
63 + "L_raw_bits": 6.0
64 + }
65 + ],
66 + "T1_entropy_le_code_lt_entropy_plus_1": true,
67 + "T3_post_shock_extra_bits_per_recipient_norms_vs_KL": {
68 + "mean_extra_bits_per_recipient": 1.895726362235342,
69 + "mean_KL": 1.979594637192137,
70 + "within_KL_pm_1": true
71 + }
72 + }
73 +}
74 + regime admin_capacity_ratio n_pairs share_lower_bits_per_success share_lower_bits_incl_setup share_higher_success share_higher_welfare mean_d_bits_per_success mean_d_success mean_d_welfare
75 + norms 2.0 864 0.997 0.000 0.993 0.90 -5.454 0.032 1.513
76 + records 2.0 864 0.712 0.500 1.000 1.00 -43.568 0.434 25.671
77 + central 0.5 864 0.005 0.000 0.007 0.00 145.924 -0.442 -28.015
78 + central 2.0 864 0.718 0.500 1.000 0.50 -43.095 0.414 11.641
79 +federated 0.5 864 0.613 0.444 0.833 0.47 -28.558 0.272 4.728
80 +federated 2.0 864 0.718 0.500 1.000 0.50 -43.095 0.414 11.641
81 + shock_type regime admin_capacity_ratio d_success_mean d_bits_mean kl_q_p_bits_mean
82 +distribution central 0.5 0.000 0.523 0.515
83 +distribution central 2.0 0.000 0.523 0.515
84 +distribution federated 0.5 0.000 0.523 0.515
85 +distribution federated 2.0 0.000 0.523 0.515
86 +distribution none 2.0 0.000 0.000 0.515
87 +distribution norms 2.0 0.000 0.516 0.515
88 +distribution records 2.0 0.000 0.524 0.515
89 + network central 0.5 0.000 0.012 0.000
90 + network central 2.0 -0.076 0.012 0.000
91 + network federated 0.5 -0.080 0.012 0.000
92 + network federated 2.0 -0.076 0.012 0.000
93 + network none 2.0 -0.004 0.000 0.000
94 + network norms 2.0 -0.004 0.001 0.000
95 + network records 2.0 -0.070 -0.003 0.000
96 +{
97 + "reference": {
98 + "central": {
99 + "success_rate": 1.0,
100 + "bits_per_success_incl_setup": 28.1329,
101 + "welfare_per_agent": 44.4486
102 + },
103 + "federated": {
104 + "success_rate": 1.0,
105 + "bits_per_success_incl_setup": 28.1329,
106 + "welfare_per_agent": 44.4486
107 + },
108 + "none": {
109 + "success_rate": 0.9178,
110 + "bits_per_success_incl_setup": 15.2547,
111 + "welfare_per_agent": 55.0433
112 + },
113 + "norms": {
114 + "success_rate": 0.9603,
115 + "bits_per_success_incl_setup": 23.7302,
116 + "welfare_per_agent": 57.2665
117 + },
118 + "records": {
119 + "success_rate": 1.0,
120 + "bits_per_success_incl_setup": 24.809,
121 + "welfare_per_agent": 59.3009
122 + }
123 + },
124 + "records_without_verification": {
125 + "success_rate": 0.9603,
126 + "bits_per_success_incl_setup": 25.8128,
127 + "welfare_per_agent": 57.1857
128 + },
129 + "norms_adaptation": {
130 + "0": {
131 + "d_bits": 0.0349,
132 + "success_post": 0.9634,
133 + "kl_q_p_bits": 1.9796
134 + },
135 + "10": {
136 + "d_bits": 1.9173,
137 + "success_post": 0.9634,
138 + "kl_q_p_bits": 1.9796
139 + },
140 + "1000": {
141 + "d_bits": 3.7915,
142 + "success_post": 0.9634,
143 + "kl_q_p_bits": 1.9796
144 + }
145 + },
146 + "breakeven_norms_wins_bits": {
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148 + "s=64,zipf=0.0,T=40,learn=200.0": false,
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151 + "s=64,zipf=1.0,T=10,learn=200.0": false,
152 + "s=64,zipf=1.0,T=10,learn=1000.0": false,
153 + "s=64,zipf=1.0,T=40,learn=0.0": true,
154 + "s=64,zipf=1.0,T=40,learn=200.0": false,
155 + "s=64,zipf=1.0,T=40,learn=1000.0": false,
156 + "s=64,zipf=1.0,T=160,learn=0.0": true,
157 + "s=64,zipf=1.0,T=160,learn=200.0": false,
158 + "s=64,zipf=1.0,T=160,learn=1000.0": false,
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160 + "s=64,zipf=2.5,T=40,learn=200.0": false,
161 + "s=256,zipf=0.0,T=40,learn=200.0": false,
162 + "s=256,zipf=1.5,T=10,learn=200.0": false,
163 + "s=256,zipf=1.5,T=10,learn=1000.0": false,
164 + "s=256,zipf=1.5,T=40,learn=200.0": false,
165 + "s=256,zipf=1.5,T=40,learn=1000.0": false,
166 + "s=256,zipf=1.5,T=160,learn=200.0": true,
167 + "s=256,zipf=1.5,T=160,learn=1000.0": false
168 + },
169 + "heterogeneity_eps": {
170 + "eps=0.05,none": {
171 + "success_rate": 0.9835,
172 + "fail_decode_share": 0.0165
173 + },
174 + "eps=0.05,norms": {
175 + "success_rate": 0.9603,
176 + "fail_decode_share": 0.0397
177 + },
178 + "eps=0.25,none": {
179 + "success_rate": 0.9178,
180 + "fail_decode_share": 0.0822
181 + },
182 + "eps=0.25,norms": {
183 + "success_rate": 0.9603,
184 + "fail_decode_share": 0.0397
185 + },
186 + "eps=0.6,none": {
187 + "success_rate": 0.8077,
188 + "fail_decode_share": 0.1923
189 + },
190 + "eps=0.6,norms": {
191 + "success_rate": 0.9603,
192 + "fail_decode_share": 0.0397
193 + }
194 + },
195 + "federated_branching": {
196 + "4": {
197 + "success_rate": 1.0,
198 + "msgs_per_task": 8.8566,
199 + "root_load_mean": 47.6688
200 + },
201 + "8": {
202 + "success_rate": 1.0,
203 + "msgs_per_task": 6.6146,
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205 + },
206 + "16": {
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208 + "msgs_per_task": 6.2688,
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210 + }
211 + },
212 + "coding_gain": {
213 + "s=16,zipf=0.0": {
214 + "H": 4.0,
215 + "L_code": 4.0,
216 + "L_raw": 4.0,
217 + "bits_per_task": 10.0
218 + },
219 + "s=64,zipf=0.0": {
220 + "H": 6.0,
221 + "L_code
added results/simulated/ablation_admin_capacity.csv +15 −0
@@ -0,0 +1,15 @@
1 +regime,admin_capacity_ratio,success_rate,fail_latency_share,latency_mean,root_load_mean,bits_per_success_incl_setup
2 +central,0.25,0.011078140754630447,0.9889218592453696,1.5,4260.6625,43272.013304911954
3 +central,0.5,0.08010193428345819,0.9198980657165419,2.565761278132555,2310.6625,359.94208353228237
4 +central,0.75,1.0,0.0,1.9932563651131772,418.325,28.13288809274241
5 +central,1.0,1.0,0.0,1.0083726243294797,302.0625,28.13288809274241
6 +central,1.5,1.0,0.0,1.0,301.9875,28.13288809274241
7 +central,2.0,1.0,0.0,1.0,301.9875,28.13288809274241
8 +central,4.0,1.0,0.0,1.0,301.9875,28.13288809274241
9 +federated,0.25,1.0,0.0,1.001534505640345,41.7625,28.13288809274241
10 +federated,0.5,1.0,0.0,1.0,41.75,28.13288809274241
11 +federated,0.75,1.0,0.0,1.0,41.75,28.13288809274241
12 +federated,1.0,1.0,0.0,1.0,41.75,28.13288809274241
13 +federated,1.5,1.0,0.0,1.0,41.75,28.13288809274241
14 +federated,2.0,1.0,0.0,1.0,41.75,28.13288809274241
15 +federated,4.0,1.0,0.0,1.0,41.75,28.13288809274241
added results/simulated/ablation_breakeven.csv +22 −0
@@ -0,0 +1,22 @@
1 +s,zipf,T,learn_bits,bits_per_success_incl_setup_none,bits_per_success_incl_setup_norms,welfare_per_agent_none,welfare_per_agent_norms,norms_wins_bits
2 +16,0.0,40,200.0,10.896230797800193,20.728016493306278,55.204825,57.38295,False
3 +64,0.0,40,200.0,15.254723116920271,24.89322169802114,55.043255,57.22138,False
4 +64,0.5,40,200.0,15.254723116920271,25.37973753146789,55.043255,57.202507499999996,False
5 +64,1.0,10,0.0,15.374864523158964,13.419767171954447,13.571367500000001,14.2655875,True
6 +64,1.0,10,200.0,15.374864523158964,55.15662803385973,13.571367500000001,13.8655875,False
7 +64,1.0,10,1000.0,15.374864523158964,222.10407148148084,13.571367500000001,12.2655875,False
8 +64,1.0,40,0.0,15.254723116920271,13.415187880780087,55.043255,57.666485,True
9 +64,1.0,40,200.0,15.25472311692027,23.73019136229921,55.043254999999995,57.266484999999996,False
10 +64,1.0,40,1000.0,15.254723116920271,64.99020528837569,55.043255,55.666485,False
11 +64,1.0,160,0.0,15.244508551418031,13.396995182415477,218.56535,228.94059249999998,True
12 +64,1.0,160,200.0,15.244508551418031,15.994538234410072,218.56535,228.5405925,False
13 +64,1.0,160,1000.0,15.244508551418031,26.384710442388453,218.56535,226.94059249999998,False
14 +64,1.5,40,200.0,15.254723116920271,20.7412234694435,55.043255,57.3824275,False
15 +64,2.5,40,200.0,15.254723116920271,16.474801255229497,55.043255,57.54793,False
16 +256,0.0,40,200.0,19.61321543604035,29.058426902736002,54.881685,57.05981,False
17 +256,1.5,10,200.0,19.76768295834724,53.06145500591005,13.5312225,13.8856825,False
18 +256,1.5,10,1000.0,19.76768295834724,220.00889845353117,13.5312225,12.2856825,False
19 +256,1.5,40,200.0,19.61321543604035,21.654745173244258,54.881685,57.3469875,False
20 +256,1.5,40,1000.0,19.61321543604035,62.91475909932075,54.881685,55.7469875,False
21 +256,1.5,160,200.0,19.600082423251752,13.915868273892697,217.92419999999998,228.8607125,True
22 +256,1.5,160,1000.0,19.600082423251752,24.306040481871076,217.92419999999998,227.2607125,False
added results/simulated/ablation_coding_gain.csv +17 −0
@@ -0,0 +1,17 @@
1 +s,zipf,regime,H_p_bits,L_code_bits,L_raw_bits,bits_per_task
2 +16,0.0,none,4.0,4.0,4.0,10.0
3 +16,0.0,norms,4.0,4.0,4.0,10.0
4 +64,0.0,none,6.0,6.0,6.0,14.0
5 +64,0.0,norms,6.0,6.0,6.0,14.0
6 +64,0.5,none,5.7811069224118885,6.235991213832777,6.0,14.0
7 +64,0.5,norms,5.7811069224118885,6.235991213832777,6.0,14.467211316534137
8 +64,1.0,none,4.863833492951823,5.442835844575209,6.0,14.0
9 +64,1.0,norms,4.863833492951823,5.442835844575209,6.0,12.883098883980201
10 +64,1.5,none,3.4352922417234857,4.00497664763145,6.0,14.0
11 +64,1.5,norms,3.4352922417234857,4.00497664763145,6.0,10.012674061260036
12 +64,2.5,none,1.4481208631091913,1.957231045370676,6.0,14.0
13 +64,2.5,norms,1.4481208631091913,1.957231045370676,6.0,5.915507143114747
14 +256,0.0,none,8.0,8.0,8.0,18.0
15 +256,0.0,norms,8.0,8.0,8.0,18.0
16 +256,1.5,none,3.915697621427415,4.443692088591824,8.0,18.0
17 +256,1.5,norms,3.915697621427415,4.443692088591824,8.0,10.889970553041216
added results/simulated/cells_institution_vs_none.csv +649 −0
@@ -0,0 +1,649 @@
1 +N,network,bandwidth,zipf,shock_type,admin_capacity_ratio,welfare_per_agent,bits_per_success_incl_setup,success_rate,welfare_per_agent_none,bits_per_success_incl_setup_none,success_rate_none,regime,welfare_loss,bits_loss,success_loss
2 +50,lattice,2,0.0,distribution,2.0,9.09287,147.3561840483179,0.16888755178458129,9.10287,89.1969694849485,0.16230696945203638,norms,True,True,False
3 +50,lattice,2,0.0,network,2.0,8.10547,163.92055125807593,0.15111303198637513,8.16797,99.60936198732347,0.1454776748409216,norms,True,True,False
4 +50,lattice,2,0.0,none,2.0,9.09287,147.3561840483179,0.16888755178458129,9.10287,89.1969694849485,0.16230696945203638,norms,True,True,False
5 +50,lattice,2,1.0,distribution,2.0,9.11684,143.68781091699378,0.16888755178458129,9.10287,89.1969694849485,0.16230696945203638,norms,False,True,False
6 +50,lattice,2,1.0,network,2.0,8.15097,156.23465596718466,0.15111303198637513,8.16797,99.60936198732347,0.1454776748409216,norms,True,True,False
7 +50,lattice,2,1.0,none,2.0,9.13639,140.61846030417595,0.16888755178458129,9.10287,89.1969694849485,0.16230696945203638,norms,False,True,False
8 +50,lattice,8,0.0,distribution,2.0,56.117869999999996,25.15828075732033,0.9562141485249865,53.61537,15.42609429004201,0.9076949113907367,norms,False,True,False
9 +50,lattice,8,0.0,network,2.0,56.58547,25.080065588027136,0.9557404409117107,54.277969999999996,15.371883758350108,0.9108592554987828,norms,False,True,False
10 +50,lattice,8,0.0,none,2.0,56.117869999999996,25.15828075732033,0.9562141485249865,53.61537,15.42609429004201,0.9076949113907367,norms,False,True,False
11 +50,lattice,8,1.0,distribution,2.0,56.14184,24.528327173357997,0.9562141485249865,53.61537,15.42609429004201,0.9076949113907367,norms,False,True,False
12 +50,lattice,8,1.0,network,2.0,56.63097,23.8936169212213,0.9557404409117107,54.277969999999996,15.371883758350108,0.9108592554987828,norms,False,True,False
13 +50,lattice,8,1.0,none,2.0,56.16139,24.015189187581612,0.9562141485249865,53.61537,15.42609429004201,0.9076949113907367,norms,False,True,False
14 +50,random,2,0.0,distribution,2.0,6.23658,216.6344884701804,0.11875523648269684,6.0515799999999995,139.2029461611703,0.10917773449594083,norms,False,True,False
15 +50,random,2,0.0,network,2.0,6.0902899999999995,220.88868121726006,0.11688478134288242,5.91279,141.24791361136548,0.10731554508079716,norms,False,True,False
16 +50,random,2,0.0,none,2.0,6.23658,216.6344884701804,0.11875523648269684,6.0515799999999995,139.2029461611703,0.10917773449594083,norms,False,True,False
17 +50,random,2,1.0,distribution,2.0,6.26401,210.45820350961753,0.11875523648269684,6.0515799999999995,139.2029461611703,0.10917773449594083,norms,False,True,False
18 +50,random,2,1.0,network,2.0,6.13629,210.3575130524684,0.11688478134288242,5.91279,141.24791361136548,0.10731554508079716,norms,False,True,False
19 +50,random,2,1.0,none,2.0,6.2846,205.9904631791691,0.11875523648269684,6.0515799999999995,139.2029461611703,0.10917773449594083,norms,False,True,False
20 +50,random,8,0.0,distribution,2.0,57.49908,24.926618054734096,0.9559153232235592,53.30158,15.898166940537578,0.8806984635434445,norms,False,True,False
21 +50,random,8,0.0,network,2.0,57.32279,24.89894024324299,0.959151208494049,53.050290000000004,15.869721318049978,0.8822327030559456,norms,False,True,False
22 +50,random,8,0.0,none,2.0,57.49908,24.926618054734096,0.9559153232235592,53.30158,15.898166940537578,0.8806984635434445,norms,False,True,False
23 +50,random,8,1.0,distribution,2.0,57.52651,24.225084800738504,0.9559153232235592,53.30158,15.898166940537578,0.8806984635434445,norms,False,True,False
24 +50,random,8,1.0,network,2.0,57.36879,23.71512498931165,0.959151208494049,53.050290000000004,15.869721318049978,0.8822327030559456,norms,False,True,False
25 +50,random,8,1.0,none,2.0,57.5471,23.6955288139579,0.9559153232235592,53.30158,15.898166940537578,0.8806984635434445,norms,False,True,False
26 +50,smallworld,2,0.0,distribution,2.0,8.63867,155.8565792815865,0.16016762599843504,8.67867,94.70087090892085,0.15419288009195442,norms,True,True,False
27 +50,smallworld,2,0.0,network,2.0,8.693819999999999,158.16433494631684,0.1650044551207506,8.658819999999999,96.30784127445305,0.1575780905331919,norms,False,True,False
28 +50,smallworld,2,0.0,none,2.0,8.63867,155.8565792815865,0.16016762599843504,8.67867,94.70087090892085,0.15419288009195442,norms,True,True,False
29 +50,smallworld,2,1.0,distribution,2.0,8.66188,152.05947888725723,0.16016762599843504,8.67867,94.70087090892085,0.15419288009195442,norms,True,True,False
30 +50,smallworld,2,1.0,network,2.0,8.738240000000001,150.78425588389592,0.1650044551207506,8.658819999999999,96.30784127445305,0.1575780905331919,norms,False,True,False
31 +50,smallworld,2,1.0,none,2.0,8.68496,148.28611793356242,0.16016762599843504,8.67867,94.70087090892085,0.15419288009195442,norms,False,True,False
32 +50,smallworld,8,0.0,distribution,2.0,56.52617,25.092444884798805,0.9558000136630016,54.07617,15.41409918368908,0.9083203494525485,norms,False,True,False
33 +50,smallworld,8,0.0,network,2.0,55.70382,25.201722806607027,0.9593097969041526,53.24632,15.370136131343024,0.9109537906661027,norms,False,True,False
34 +50,smallworld,8,0.0,none,2.0,56.52617,25.092444884798805,0.9558000136630016,54.07617,15.41409918368908,0.9083203494525485,norms,False,True,False
35 +50,smallworld,8,1.0,distribution,2.0,56.54938,24.48613344622969,0.9558000136630016,54.07617,15.41409918368908,0.9083203494525485,norms,False,True,False
36 +50,smallworld,8,1.0,network,2.0,55.748239999999996,24.024598455144506,0.9593097969041526,53.24632,15.370136131343024,0.9109537906661027,norms,False,True,False
37 +50,smallworld,8,1.0,none,2.0,56.57246,23.88531921784544,0.9558000136630016,54.07617,15.41409918368908,0.9083203494525485,norms,False,True,False
38 +200,lattice,2,0.0,distribution,2.0,8.86888,149.0850974859646,0.16255651877576915,8.775755,91.86321707669818,0.15438841662974462,norms,False,True,False
39 +200,lattice,2,0.0,network,2.0,8.5833725,153.86007423235932,0.15790421447808606,8.5258725,94.68278850901093,0.15032186570694886,norms,False,True,False
40 +200,lattice,2,0.0,none,2.0,8.86888,149.0850974859646,0.16255651877576915,8.775755,91.86321707669818,0.15438841662974462,norms,False,True,False
41 +200,lattice,2,1.0,distribution,2.0,8.893455,145.2854694987161,0.16255651877576915,8.775755,91.86321707669818,0.15438841662974462,norms,False,True,False
42 +200,lattice,2,1.0,network,2.0,8.6287875,146.6157450059085,0.15790421447808606,8.5258725,94.68278850901093,0.15032186570694886,norms,False,True,False
43 +200,lattice,2,1.0,none,2.0,8.913985,142.12339609820978,0.16255651877576915,8.775755,91.86321707669818,0.15438841662974462,norms,False,True,False
44 +200,lattice,8,0.0,distribution,2.0,57.22138,24.89322169802114,0.9603428143704258,55.043255,15.254723116920271,0.9177897283027365,norms,False,True,False
45 +200,lattice,8,0.0,network,2.0,57.2564975,24.89103649637431,0.9601212883752219,55.074622500000004,15.258806246238406,0.9175476942349328,norms,False,True,False
46 +200,lattice,8,0.0,none,2.0,57.22138,24.89322169802114,0.9603428143704258,55.043255,15.254723116920271,0.9177897283027365,norms,False,True,False
47 +200,lattice,8,1.0,distribution,2.0,57.245955,24.25928398030373,0.9603428143704258,55.043255,15.254723116920271,0.9177897283027365,norms,False,True,False
48 +200,lattice,8,1.0,network,2.0,57.3019125,23.720908405835445,0.9601212883752219,55.074622500000004,15.258806246238406,0.9175476942349328,norms,False,True,False
49 +200,lattice,8,1.0,none,2.0,57.266485,23.73019136229921,0.9603428143704258,55.043255,15.254723116920271,0.9177897283027365,norms,False,True,False
50 +200,random,2,0.0,distribution,2.0,6.2881725,199.38637105521988,0.1206804603829138,6.1312975000000005,126.16762544077731,0.11141168571551739,norms,False,True,False
51 +200,random,2,0.0,network,2.0,6.4072425,196.52882348412254,0.12288253306985022,6.2109925,124.90274401505911,0.11294699947162923,norms,False,True,False
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54 +200,random,2,1.0,network,2.0,6.4511975,187.52299026322098,0.12288253306985022,6.2109925,124.90274401505911,0.11294699947162923,norms,False,True,False
55 +200,random,2,1.0,none,2.0,6.3317049999999995,190.3692024162461,0.1206804603829138,6.1312975000000005,126.16762544077731,0.11141168571551739,norms,False,True,False
56 +200,random,8,0.0,distribution,2.0,56.8531725,24.92329984166422,0.9625902656542262,52.9912975,15.702435117926743,0.8916388426836861,norms,False,True,False
57 +200,random,8,0.0,network,2.0,56.7153675,24.959784633644627,0.961876463647348,52.8216175,15.726134569270153,0.8902749732410529,norms,False,True,False
58 +200,random,8,0.0,none,2.0,56.8531725,24.92329984166422,0.9625902656542262,52.9912975,15.702435117926743,0.8916388426836861,norms,False,True,False
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60 +200,random,8,1.0,network,2.0,56.7593225,23.81649215244027,0.961876463647348,52.8216175,15.726134569270153,0.8902749732410529,norms,False,True,False
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68 +200,smallworld,8,0.0,distribution,2.0,56.47752,25.010509284450816,0.9615739213302099,53.98252,15.333428477760405,0.913077295736973,norms,False,True,False
69 +200,smallworld,8,0.0,network,2.0,56.77905,24.981665300701096,0.9596595869041435,54.323425,15.348572167907204,0.912185744253645,norms,False,True,False
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72 +200,smallworld,8,1.0,network,2.0,56.823365,23.83085441261147,0.9596595869041435,54.323425,15.348572167907204,0.912185744253645,norms,False,True,False
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286 +50,smallworld,8,1.0,network,0.5,2.46137,437.38801799772557,0.06761900221465607,53.24632,15.370136131343024,0.9109537906661027,central,True,True,True
287 +50,smallworld,8,1.0,network,2.0,48.46637,27.09113110775649,1.0,53.24632,15.370136131343024,0.9109537906661027,central,True,True,False
288 +50,smallworld,8,1.0,none,0.5,2.46595,434.68108231409104,0.06785323916337932,54.07617,15.41409918368908,0.9083203494525485,central,True,True,True
289 +50,smallworld,8,1.0,none,2.0,48.23095,27.086193922673818,1.0,54.07617,15.41409918368908,0.9083203494525485,central,True,True,False
290 +200,lattice,2,0.0,distribution,0.5,2.71307,377.42040466468,0.0794378010811781,8.775755,91.86321707669818,0.15438841662974462,central,True,True,True
291 +200,lattice,2,0.0,distribution,2.0,42.80432,30.33733525280511,0.9643862984150744,8.775755,91.86321707669818,0.15438841662974462,central,False,False,False
292 +200,lattice,2,0.0,network,0.5,2.7124699999999997,377.73302002725575,0.07936924603652888,8.5258725,94.68278850901093,0.15032186570694886,central,True,True,True
293 +200,lattice,2,0.0,network,2.0,38.36372,33.82015763100428,0.8652040837617074,8.5258725,94.68278850901093,0.15032186570694886,central,False,False,False
294 +200,lattice,2,0.0,none,0.5,2.71307,377.42040466468,0.0794378010811781,8.775755,91.86321707669818,0.15438841662974462,central,True,True,True
295 +200,lattice,2,0.0,none,2.0,42.80432,30.33733525280511,0.9643862984150744,8.775755,91.86321707669818,0.15438841662974462,central,False,False,False
296 +200,lattice,2,1.0,distribution,0.5,2.7316475000000002,369.4537010715468,0.0794378010811781,8.775755,91.86321707669818,0.15438841662974462,central,True,True,True
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300 +200,lattice,2,1.0,none,0.5,2.7467375,363.0662951645206,0.0794378010811781,8.775755,91.86321707669818,0.15438841662974462,central,True,True,True
301 +200,lattice,2,1.0,none,2.0,42.8379875,29.180941544740644,0.9643862984150744,8.775755,91.86321707669818,0.15438841662974462,central,False,False,False
302 +200,lattice,8,0.0,distribution,0.5,2.74307,374.17644900041324,0.08010193428345819,55.043255,15.254723116920271,0.9177897283027365,central,True,True,True
303 +200,lattice,8,0.0,distribution,2.0,44.414945,29.247757181144955,1.0,55.043255,15.254723116920271,0.9177897283027365,central,True,True,False
304 +200,lattice,8,0.0,network,0.5,2.74247,374.4945167671518,0.08003577570341636,55.074622500000004,15.258806246238406,0.9175476942349328,central,True,True,True
305 +200,lattice,8,0.0,network,2.0,44.470595,29.232269541500283,1.0,55.074622500000004,15.258806246238406,0.9175476942349328,central,True,True,False
306 +200,lattice,8,0.0,none,0.5,2.74307,374.17644900041324,0.08010193428345819,55.043255,15.254723116920271,0.9177897283027365,central,True,True,True
307 +200,lattice,8,0.0,none,2.0,44.414945,29.247757181144955,1.0,55.043255,15.254723116920271,0.9177897283027365,central,True,True,False
308 +200,lattice,8,1.0,distribution,0.5,2.7616475,366.2787550249242,0.08010193428345819,55.043255,15.254723116920271,0.9177897283027365,central,True,True,True
309 +200,lattice,8,1.0,distribution,2.0,44.433522499999995,28.632472996695192,1.0,55.043255,15.254723116920271,0.9177897283027365,central,True,True,False
310 +200,lattice,8,1.0,network,0.5,2.7769325,359.9383862809427,0.08003577570341636,55.074622500000004,15.258806246238406,0.9175476942349328,central,True,True,True
311 +200,lattice,8,1.0,network,2.0,44.5050575,28.09164706889266,1.0,55.074622500000004,15.258806246238406,0.9175476942349328,central,True,True,False
312 +200,lattice,8,1.0,none,0.5,2.7767375,359.94208353228237,0.08010193428345819,55.043255,15.254723116920271,0.9177897283027365,central,True,True,True
313 +200,lattice,8,1.0,none,2.0,44.448612499999996,28.13288809274241,1.0,55.043255,15.254723116920271,0.9177897283027365,central,True,True,False
314 +200,random,2,0.0,distribution,0.5,2.81276,358.99611180735303,0.08246746486286122,6.1312975000000005,126.16762544077731,0.11141168571551739,central,True,True,True
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316 +200,random,2,0.0,network,0.5,2.81216,359.18786536569394,0.08236806438679146,6.2109925,124.90274401505911,0.11294699947162923,central,True,True,True
317 +200,random,2,0.0,network,2.0,32.004035,40.09163087768276,0.7339653532225782,6.2109925,124.90274401505911,0.11294699947162923,central,False,False,False
318 +200,random,2,0.0,none,0.5,2.81276,358.99611180735303,0.08246746486286122,6.1312975000000005,126.16762544077731,0.11141168571551739,central,True,True,True
319 +200,random,2,0.0,none,2.0,33.96776,37.796908123414156,0.7787248989478104,6.1312975000000005,126.16762544077731,0.11141168571551739,central,False,False,False
320 +200,random,2,1.0,distribution,0.5,2.8306575,351.65449771183853,0.08246746486286122,6.1312975000000005,126.16762544077731,0.11141168571551739,central,True,True,True
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322 +200,random,2,1.0,network,0.5,2.847295,344.7944522920906,0.08236806438679146,6.2109925,124.90274401505911,0.11294699947162923,central,True,True,True
323 +200,random,2,1.0,network,2.0,32.03917,38.486486390507196,0.7339653532225782,6.2109925,124.90274401505911,0.11294699947162923,central,False,False,False
324 +200,random,2,1.0,none,0.5,2.8464425,345.1825754636327,0.08246746486286122,6.1312975000000005,126.16762544077731,0.11141168571551739,central,True,True,True
325 +200,random,2,1.0,none,2.0,34.001442499999996,36.34345215836098,0.7787248989478104,6.1312975000000005,126.16762544077731,0.11141168571551739,central,False,False,False
326 +200,random,8,0.0,distribution,0.5,3.0546349999999998,338.2919290520884,0.08786355191519378,52.9912975,15.702435117926743,0.8916388426836861,central,True,True,True
327 +200,random,8,0.0,distribution,2.0,43.86401,29.41213540183328,1.0,52.9912975,15.702435117926743,0.8916388426836861,central,True,True,False
328 +200,random,8,0.0,network,0.5,3.054035,338.50027076703253,0.08776674584484546,52.8216175,15.726134569270153,0.8902749732410529,central,True,True,True
329 +200,random,8,0.0,network,2.0,43.91966,29.39992183024108,1.0,52.8216175,15.726134569270153,0.8902749732410529,central,True,True,False
330 +200,random,8,0.0,none,0.5,3.0546349999999998,338.2919290520884,0.08786355191519378,52.9912975,15.702435117926743,0.8916388426836861,central,True,True,True
331 +200,random,8,0.0,none,2.0,43.86401,29.41213540183328,1.0,52.9912975,15.702435117926743,0.8916388426836861,central,True,True,False
332 +200,random,8,1.0,distribution,0.5,3.0725325,331.36715257955495,0.08786355191519378,52.9912975,15.702435117926743,0.8916388426836861,central,True,True,True
333 +200,random,8,1.0,distribution,2.0,43.881907500000004,28.811661534775226,1.0,52.9912975,15.702435117926743,0.8916388426836861,central,True,True,False
334 +200,random,8,1.0,network,0.5,3.08917,324.917726650899,0.08776674584484546,52.8216175,15.726134569270153,0.8902749732410529,central,True,True,True
335 +200,random,8,1.0,network,2.0,43.954795,28.222998524345012,1.0,52.8216175,15.726134569270153,0.8902749732410529,central,True,True,False
336 +200,random,8,1.0,none,0.5,3.0883175,325.2730505370081,0.08786355191519378,52.9912975,15.702435117926743,0.8916388426836861,central,True,True,True
337 +200,random,8,1.0,none,2.0,43.897692500000005,28.282411102529466,1.0,52.9912975,15.702435117926743,0.8916388426836861,central,True,True,False
338 +200,smallworld,2,0.0,distribution,0.5,3.15402,341.09766407380323,0.0895347941844359,9.01252,88.155128702819,0.16047496385746754,central,True,True,True
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341 +200,smallworld,2,0.0,network,2.0,38.0346,34.070907266719615,0.8599876540033586,8.63155,92.13839535009973,0.1529075291228682,central,False,False,False
342 +200,smallworld,2,0.0,none,0.5,3.15402,341.09766407380323,0.0895347941844359,9.01252,88.155128702819,0.16047496385746754,central,True,True,True
343 +200,smallworld,2,0.0,none,2.0,41.840895,30.97199641213502,0.947367692847476,9.01252,88.155128702819,0.16047496385746754,central,False,False,False
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346 +200,smallworld,2,1.0,network,0.5,3.1856325,328.680734691608,0.08910653308747822,8.63155,92.13839535009973,0.1529075291228682,central,True,True,True
347 +200,smallworld,2,1.0,network,2.0,38.0681325,32.77526025688926,0.8599876540033586,8.63155,92.13839535009973,0.1529075291228682,central,False,False,False
348 +200,smallworld,2,1.0,none,0.5,3.1883749999999997,327.8376605147852,0.0895347941844359,9.01252,88.155128702819,0.16047496385746754,central,True,True,True
349 +200,smallworld,2,1.0,none,2.0,41.87525,29.763727642862438,0.947367692847476,9.01252,88.155128702819,0.16047496385746754,central,False,False,False
350 +200,smallworld,8,0.0,distribution,0.5,3.18402,338.1871218258789,0.09020781090955172,53.98252,15.333428477760405,0.913077295736973,central,True,True,True
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352 +200,smallworld,8,0.0,network,0.5,3.1821,338.80466060467717,0.089777328324682,54.323425,15.348572167907204,0.912185744253645,central,True,True,True
353 +200,smallworld,8,0.0,network,2.0,44.388975,29.259184947556527,1.0,54.323425,15.348572167907204,0.912185744253645,central,True,True,False
354 +200,smallworld,8,0.0,none,0.5,3.18402,338.1871218258789,0.09020781090955172,53.98252,15.333428477760405,0.913077295736973,central,True,True,True
355 +200,smallworld,8,0.0,none,2.0,44.210895,29.31601371868071,1.0,53.98252,15.333428477760405,0.913077295736973,central,True,True,False
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361 +200,smallworld,8,1.0,none,2.0,44.24525,28.17267533022059,1.0,53.98252,15.333428477760405,0.913077295736973,central,True,True,False
362 +800,lattice,2,0.0,distribution,0.5,3.3544925,313.39966690259405,0.0944046833485211,9.34502125,84.59560439220563,0.1658897928447522,central,True,True,True
363 +800,lattice,2,0.0,distribution,2.0,42.601055,30.301676047413572,0.9696537612561946,9.34502125,84.59560439220563,0.1658897928447522,central,False,False,False
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365 +800,lattice,2,0.0,network,2.0,38.6350675,33.32586805237986,0.8822175945412374,8.79715875,89.64490129320194,0.1564601145351216,central,False,False,False
366 +800,lattice,2,0.0,none,0.5,3.3544925,313.39966690259405,0.0944046833485211,9.34502125,84.59560439220563,0.1658897928447522,central,True,True,True
367 +800,lattice,2,0.0,none,2.0,42.601055,30.301676047413572,0.9696537612561946,9.34502125,84.59560439220563,0.1658897928447522,central,False,False,False
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371 +800,lattice,2,1.0,network,2.0,38.6683325,32.06318571771174,0.8822175945412374,8.79715875,89.64490129320194,0.1564601145351216,central,False,False,False
372 +800,lattice,2,1.0,none,0.5,3.3877575,301.50056087410695,0.0944046833485211,9.34502125,84.59560439220563,0.1658897928447522,central,True,True,True
373 +800,lattice,2,1.0,none,2.0,42.63432,29.15399447096135,0.9696537612561946,9.34502125,84.59560439220563,0.1658897928447522,central,False,False,False
374 +800,lattice,8,0.0,distribution,0.5,3.387305,310.95383762743324,0.0951355410698737,54.264865,15.249276040898145,0.9180845245085435,central,True,True,True
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510 +200,lattice,2,0.0,none,0.5,42.80432,30.33733525280511,0.9643862984150744,8.775755,91.86321707669818,0.15438841662974462,federated,False,False,False
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516 +200,lattice,2,1.0,none,0.5,42.8379875,29.180941544740644,0.9643862984150744,8.775755,91.86321707669818,0.15438841662974462,federated,False,False,False
517 +200,lattice,2,1.0,none,2.0,42.8379875,29.180941544740644,0.9643862984150744,8.775755,91.86321707669818,0.15438841662974462,federated,False,False,False
518 +200,lattice,8,0.0,distribution,0.5,44.414945,29.247757181144955,1.0,55.043255,15.254723116920271,0.9177897283027365,federated,True,True,False
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521 +200,lattice,8,0.0,network,2.0,44.470595,29.232269541500283,1.0,55.074622500000004,15.258806246238406,0.9175476942349328,federated,True,True,False
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added results/simulated/cells_main.csv +757 −0
@@ -0,0 +1,757 @@
1 +N,network,bandwidth,zipf,shock_type,regime,admin_capacity_ratio,success_rate_mean,success_rate_std,success_rate_count,msgs_per_task_mean,msgs_per_task_std,msgs_per_task_count,bits_per_task_mean,bits_per_task_std,bits_per_task_count,bits_per_success_mean,bits_per_success_std,bits_per_success_count,bits_per_success_incl_setup_mean,bits_per_success_incl_setup_std,bits_per_success_incl_setup_count,tasks_per_kbit_mean,tasks_per_kbit_std,tasks_per_kbit_count,latency_mean_mean,latency_mean_std,latency_mean_count,fail_latency_share_mean,fail_latency_share_std,fail_latency_share_count,fail_decode_share_mean,fail_decode_share_std,fail_decode_share_count,admin_overhead_share_mean,admin_overhead_share_std,admin_overhead_share_count,welfare_per_agent_mean,welfare_per_agent_std,welfare_per_agent_count,gini_benefit_mean,gini_benefit_std,gini_benefit_count,root_load_mean_mean,root_load_mean_std,root_load_mean_count,success_pre_mean,success_pre_std,success_pre_count,success_post_mean,success_post_std,success_post_count,bits_per_task_pre_mean,bits_per_task_pre_std,bits_per_task_pre_count,bits_per_task_post_mean,bits_per_task_post_std,bits_per_task_post_count
2 +50,lattice,2,0.0,distribution,central,0.5,0.07453980999053904,0.023008094620832614,8,8.0,0.0,8,16.0,0.0,8,234.6955408593038,79.03996539130206,8,414.8979893018475,138.9964452572353,8,2.633694134980002,0.8139626834026512,8,2.6349094364503745,0.2565504157984489,8,0.925460190009461,0.02300809462083265,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,2.71662,1.1292471725382864,8,0.2554459995160931,0.05464639907885179,8,679.525,55.00370766723694,8,0.1521717952956612,0.046893007469150316,8,0.0,0.0,8,16.0,0.0,8,16.0,0.0,8
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11 +50,lattice,2,0.0,network,federated,0.5,0.7983198334922278,0.1276651505312591,8,6.489818743628307,0.23454328230115587,8,16.0,0.0,8,20.538549956078768,3.558192496498728,8,36.53445406005536,6.273816463692443,8,28.040518604627454,4.463148747195781,8,2.1466340247020192,0.22928422424281622,8,0.20168016650777215,0.1276651505312591,8,0.0,0.0,8,0.578427117020696,0.004574731404937013,8,37.5089,6.120783318796471,8,0.1311139781047803,0.016710356372330933,8,94.0375,33.10241413293857,8,0.9840541801294629,0.012495876544998143,8,0.6154543432259209,0.2540872027923395,8,16.0,0.0,8,16.0,0.0,8
12 +50,lattice,2,0.0,network,federated,2.0,0.8893022043916392,0.047823816842072764,8,6.489818743628307,0.23454328230115587,8,16.0,0.0,8,18.03627682840949,0.9503267337757796,8,32.09309631773837,1.7862204203003935,8,31.243875060100894,1.7390578561382948,8,1.674631651368015,0.0525440187056641,8,0.11069779560836077,0.04782381684207274,8,0.0,0.0,8,0.578427117020696,0.004574731404937013,8,41.9114,2.5899316993090213,8,0.13219762267558044,0.016959487762027728,8,49.9875,4.750093984032617,8,0.9840541801294629,0.012495876544998143,8,0.7960398659663315,0.09555247328936453,8,16.0,0.0,8,16.0,0.0,8
13 +50,lattice,2,0.0,network,none,2.0,0.1454776748409216,0.030533023376685495,8,4.0,0.0,8,14.0,0.0,8,99.60936198732347,18.786701151627277,8,99.60936198732347,18.786701151627277,8,10.391262488637256,2.1809302411918217,8,2.5936412478078936,0.07513962064762525,8,0.7653815806578611,0.0304188821593163,8,0.08914074450121726,0.010477212315135832,8,0.0,0.0,8,8.16797,1.6498533511627194,8,0.3138485559597394,0.05134461577149248,8,0.0,0.0,8,0.2508736005980477,0.04573292850023104,8,0.044218952483671095,0.025029906936581036,8,14.0,0.0,8,14.0,0.0,8
14 +50,lattice,2,0.0,network,norms,2.0,0.15111303198637513,0.03142710224403439,8,4.0,0.0,8,14.0,0.0,8,95.85727988967633,18.023439405264913,8,163.92055125807593,29.876345811206566,8,6.29551850664538,1.2481084286931188,8,2.593747504466484,0.07132555490136039,8,0.8046274089253356,0.03126022339215906,8,0.04425955908828928,0.005805568835724153,8,0.4158753075662102,0.0064833794212805235,8,8.10547,1.6918481763359934,8,0.3138210537587108,0.04834425661759926,8,0.0,0.0,8,0.26051339544377006,0.04554219862640405,8,0.045924832173994165,0.026068777477871074,8,14.0,0.0,8,14.0,0.0,8
15 +50,lattice,2,0.0,network,records,2.0,0.8987587276223951,0.06325741529212628,8,2.0,0.0,8,16.0,0.0,8,17.883571186261136,1.3215588293782559,8,28.935942383243066,1.8435919209031122,8,34.67638705920662,2.1063059314157107,8,1.7087099446937906,0.053055954803145115,8,0.10124127237760493,0.06325741529212622,8,0.0,0.0,8,0.5367079926413159,0.006235436650805072,8,53.3582,2.6680974967835906,8,0.12228928903796814,0.009931625764903912,8,0.0,0.0,8,0.971033375783242,0.020921549490941813,8,0.8255435953512709,0.11624117980266516,8,16.0,0.0,8,16.0,0.0,8
16 +50,lattice,2,0.0,none,central,0.5,0.07453980999053904,0.023008094620832614,8,8.0,0.0,8,16.0,0.0,8,234.6955408593038,79.03996539130206,8,414.8979893018475,138.9964452572353,8,2.633694134980002,0.8139626834026512,8,2.6349094364503745,0.2565504157984489,8,0.925460190009461,0.02300809462083265,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,2.71662,1.1292471725382864,8,0.2554459995160931,0.05464639907885179,8,679.525,55.00370766723694,8,0.1521717952956612,0.046893007469150316,8,0.0,0.0,8,16.0,0.0,8,16.0,0.0,8
17 +50,lattice,2,0.0,none,central,2.0,0.9782435472731877,0.025991268271521532,8,8.0,0.0,8,16.0,0.0,8,16.3662158213474,0.4461554007324672,8,28.94043170343408,0.5909661284004283,8,34.56635209025821,0.7063619163084855,8,1.6115396340585273,0.04362543935819283,8,0.02175645272681219,0.025991268271521522,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,46.82412,1.2535301145621844,8,0.10238746261351199,0.003179135289680979,8,81.3875,2.7787137312073007,8,0.9840541801294629,0.012495876544998143,8,0.972687119422194,0.044015924793867525,8,16.0,0.0,8,16.0,0.0,8
18 +50,lattice,2,0.0,none,federated,0.5,0.8435935652016926,0.1280683373655998,8,6.465869360067418,0.20137752210870868,8,16.0,0.0,8,19.372763034675984,3.0738091080813597,8,34.203357606831844,4.9690599380389155,8,29.764439582253807,4.166920538045297,8,2.1233118405328324,0.26374725084976075,8,0.1564064347983074,0.1280683373655998,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,40.11162,5.153056023049399,8,0.10549468735421025,0.007376957612342994,8,97.3875,31.607376512453545,8,0.9840541801294629,0.012495876544998143,8,0.7099013404555747,0.2458382405779608,8,16.0,0.0,8,16.0,0.0,8
19 +50,lattice,2,0.0,none,federated,2.0,0.9782435472731877,0.025991268271521532,8,6.465869360067418,0.20137752210870868,8,16.0,0.0,8,16.3662158213474,0.4461554007324672,8,28.94043170343408,0.5909661284004283,8,34.56635209025821,0.7063619163084855,8,1.6115396340585273,0.04362543935819283,8,0.02175645272681219,0.025991268271521522,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,46.82412,1.2535301145621844,8,0.10238746261351199,0.003179135289680979,8,50.2125,4.792833191338919,8,0.9840541801294629,0.012495876544998143,8,0.972687119422194,0.044015924793867525,8,16.0,0.0,8,16.0,0.0,8
20 +50,lattice,2,0.0,none,none,2.0,0.16230696945203638,0.03372350023012002,8,4.0,0.0,8,14.0,0.0,8,89.1969694849485,16.311475378272757,8,89.1969694849485,16.311475378272757,8,11.593354960859742,2.4088214450085728,8,2.600257824528716,0.06571723946565508,8,0.7453879419387003,0.034663952532625796,8,0.09230508860926336,0.012187607256957235,8,0.0,0.0,8,9.10287,1.848271454861851,8,0.297695248781816,0.06165464491855298,8,0.0,0.0,8,0.2508736005980477,0.04573292850023104,8,0.07610885879157614,0.036215375400800436,8,14.0,0.0,8,14.0,0.0,8
21 +50,lattice,2,0.0,none,norms,2.0,0.16888755178458129,0.03573257948053432,8,4.0,0.0,8,14.0,0.0,8,85.8543777489665,16.091181617252946,8,147.3561840483179,26.76168841320369,8,7.01188926003034,1.429423573902625,8,2.601689339246643,0.06157430935897809,8,0.7873265967404053,0.037155679447160375,8,0.043785851475013446,0.0060955676232130555,8,0.4179864273505079,0.0058182505437119215,8,9.09287,1.9543565837818413,8,0.29697386574884965,0.06109050874053296,8,0.0,0.0,8,0.26051339544377006,0.04554219862640405,8,0.07963046729427989,0.03795826081672087,8,14.0,0.0,8,14.0,0.0,8
22 +50,lattice,2,0.0,none,records,2.0,0.9696240939671001,0.021309663488251647,8,2.0,0.0,8,16.0,0.0,8,16.508361438238843,0.3704177847864282,8,26.788374470491355,0.6467653888388895,8,37.348516680498484,0.8944454705065915,8,1.6397229197432157,0.044577541041375415,8,0.030375906032899854,0.02130966348825166,8,0.0,0.0,8,0.5377362273348725,0.007831814363880396,8,57.41922,2.4927664423745273,8,0.09247311088150292,0.008380208431954214,8,0.0,0.0,8,0.971033375783242,0.020921549490941813,8,0.9689183360861708,0.03854728831436937,8,16.0,0.0,8,16.0,0.0,8
23 +50,lattice,2,1.0,distribution,central,0.5,0.07453980999053904,0.023008094620832614,8,8.0,0.0,8,15.383234700335827,0.08874171688678215,8,225.7788279846303,76.22366986095562,8,405.98127642717395,136.17714784160276,8,2.693703048786669,0.8389138527391109,8,2.6349094364503745,0.2565504157984489,8,0.925460190009461,0.02300809462083265,8,0.0,0.0,8,0.5887175293925987,0.0067077612383565,8,2.73669,1.1308590869903161,8,0.2554459995160931,0.05464639907885179,8,679.525,55.00370766723694,8,0.1521717952956612,0.046893007469150316,8,0.0,0.0,8,14.914446796882535,0.07029130013211263,8,15.833480548521761,0.13553871458876934,8
24 +50,lattice,2,1.0,distribution,central,2.0,0.9782435472731877,0.025991268271521532,8,8.0,0.0,8,15.383234700335827,0.08874171688678215,8,15.735109870574615,0.4287983437931714,8,28.30932575266129,0.5639520529524581,8,35.33634059683301,0.705389293221285,8,1.6115396340585273,0.04362543935819283,8,0.02175645272681219,0.025991268271521522,8,0.0,0.0,8,0.5887175293925987,0.0067077612383565,8,46.84419,1.2532601555486063,8,0.10238746261351199,0.003179135289680979,8,81.3875,2.7787137312073007,8,0.9840541801294629,0.012495876544998143,8,0.972687119422194,0.044015924793867525,8,14.914446796882535,0.07029130013211263,8,15.833480548521761,0.13553871458876934,8
25 +50,lattice,2,1.0,distribution,federated,0.5,0.8435935652016926,0.1280683373655998,8,6.465869360067418,0.20137752210870868,8,15.383234700335827,0.08874171688678215,8,18.62272455794282,2.938203464446332,8,33.45331913009868,4.829307318763899,8,30.42324705803615,4.219643143557556,8,2.1233118405328324,0.26374725084976075,8,0.1564064347983074,0.1280683373655998,8,0.0,0.0,8,0.5887175293925987,0.0067077612383565,8,40.13169,5.151527051306521,8,0.10549468735421025,0.007376957612342994,8,97.3875,31.607376512453545,8,0.9840541801294629,0.012495876544998143,8,0.7099013404555747,0.2458382405779608,8,14.914446796882535,0.07029130013211263,8,15.833480548521761,0.13553871458876934,8
26 +50,lattice,2,1.0,distribution,federated,2.0,0.9782435472731877,0.025991268271521532,8,6.465869360067418,0.20137752210870868,8,15.383234700335827,0.08874171688678215,8,15.735109870574615,0.4287983437931714,8,28.30932575266129,0.5639520529524581,8,35.33634059683301,0.705389293221285,8,1.6115396340585273,0.04362543935819283,8,0.02175645272681219,0.025991268271521522,8,0.0,0.0,8,0.5887175293925987,0.0067077612383565,8,46.84419,1.2532601555486063,8,0.10238746261351199,0.003179135289680979,8,50.2125,4.792833191338919,8,0.9840541801294629,0.012495876544998143,8,0.972687119422194,0.044015924793867525,8,14.914446796882535,0.07029130013211263,8,15.833480548521761,0.13553871458876934,8
27 +50,lattice,2,1.0,distribution,none,2.0,0.16230696945203638,0.03372350023012002,8,4.0,0.0,8,14.0,0.0,8,89.1969694849485,16.311475378272757,8,89.1969694849485,16.311475378272757,8,11.593354960859742,2.4088214450085728,8,2.600257824528716,0.06571723946565508,8,0.7453879419387003,0.034663952532625796,8,0.09230508860926336,0.012187607256957235,8,0.0,0.0,8,9.10287,1.848271454861851,8,0.297695248781816,0.06165464491855298,8,0.0,0.0,8,0.2508736005980477,0.04573292850023104,8,0.07610885879157614,0.036215375400800436,8,14.0,0.0,8,14.0,0.0,8
28 +50,lattice,2,1.0,distribution,norms,2.0,0.16888755178458129,0.03573257948053432,8,4.0,0.0,8,13.398083166432794,0.11854031244696434,8,82.18600461764238,15.517175816073493,8,143.68781091699378,26.192691111841377,8,7.1935191291572655,1.4783605226973253,8,2.601689339246643,0.06157430935897809,8,0.7873265967404053,0.037155679447160375,8,0.043785851475013446,0.0060955676232130555,8,0.4287214124837069,0.005882350624169211,8,9.11684,1.9552961837459386,8,0.29697386574884965,0.06109050874053296,8,0.0,0.0,8,0.26051339544377006,0.04554219862640405,8,0.07963046729427989,0.03795826081672087,8,12.937897093346395,0.0960366298811233,8,13.849979349750384,0.1637757290147197,8
29 +50,lattice,2,1.0,distribution,records,2.0,0.9696240939671001,0.021309663488251647,8,2.0,0.0,8,15.419608335246501,0.13562208449365337,8,15.910002584985964,0.40721456027394576,8,26.190015617238476,0.6237733396194153,8,38.20120506088812,0.8983942928221725,8,1.6397229197432157,0.044577541041375415,8,0.030375906032899854,0.02130966348825166,8,0.0,0.0,8,0.5500401377465208,0.009646621710655367,8,57.44245,2.4914835786620877,8,0.09247311088150292,0.008380208431954214,8,0.0,0.0,8,0.971033375783242,0.020921549490941813,8,0.9689183360861708,0.03854728831436937,8,14.973022067153373,0.16454480028836743,8,15.886546155643167,0.130670348502341,8
30 +50,lattice,2,1.0,network,central,0.5,0.07586686122444125,0.024730934138430635,8,8.0,0.0,8,14.888305036711479,0.1161175616955103,8,216.13500444404352,74.36561285995013,8,396.3374528865872,134.38185382382227,8,2.7698437992070857,0.8923365333336708,8,2.6349094364503745,0.2565504157984489,8,0.9241331387755587,0.0247309341384306,8,0.0,0.0,8,0.6019376679491191,0.006519060527781504,8,2.75953,1.138115845622555,8,0.2554459995160931,0.05464639907885179,8,664.7,45.50321809655727,8,0.1521717952956612,0.046893007469150316,8,0.0,0.0,8,14.914446796882535,0.07029130013211263,8,14.859159592692329,0.2133673573648992,8
31 +50,lattice,2,1.0,network,central,2.0,0.8893022043916392,0.047823816842072764,8,8.0,0.0,8,14.888305036711479,0.1161175616955103,8,16.77997304262617,0.8237714090033442,8,30.836792531955048,1.640635518988028,8,32.50934610944497,1.7336221760011041,8,1.674631651368015,0.0525440187056641,8,0.11069779560836077,0.04782381684207274,8,0.0,0.0,8,0.6019376679491191,0.006519060527781504,8,41.94703,2.5877364887484213,8,0.13219762267558044,0.016959487762027728,8,80.25,1.991410124940185,8,0.9840541801294629,0.012495876544998143,8,0.7960398659663315,0.09555247328936453,8,14.914446796882535,0.07029130013211263,8,14.859159592692329,0.2133673573648992,8
32 +50,lattice,2,1.0,network,federated,0.5,0.7983198334922278,0.1276651505312591,8,6.489818743628307,0.23454328230115587,8,14.888305036711479,0.1161175616955103,8,19.109946818890517,3.3071768865348576,8,35.105850922867106,6.014952781082975,8,29.17714906356652,4.624715001257806,8,2.1466340247020192,0.22928422424281622,8,0.20168016650777215,0.1276651505312591,8,0.0,0.0,8,0.6019376679491191,0.006519060527781504,8,37.54453,6.120054557954763,8,0.1311139781047803,0.016710356372330933,8,94.0375,33.10241413293857,8,0.9840541801294629,0.012495876544998143,8,0.6154543432259209,0.2540872027923395,8,14.914446796882535,0.07029130013211263,8,14.859159592692329,0.2133673573648992,8
33 +50,lattice,2,1.0,network,federated,2.0,0.8893022043916392,0.047823816842072764,8,6.489818743628307,0.23454328230115587,8,14.888305036711479,0.1161175616955103,8,16.77997304262617,0.8237714090033442,8,30.836792531955048,1.640635518988028,8,32.50934610944497,1.7336221760011041,8,1.674631651368015,0.0525440187056641,8,0.11069779560836077,0.04782381684207274,8,0.0,0.0,8,0.6019376679491191,0.006519060527781504,8,41.94703,2.5877364887484213,8,0.13219762267558044,0.016959487762027728,8,49.9875,4.750093984032617,8,0.9840541801294629,0.012495876544998143,8,0.7960398659663315,0.09555247328936453,8,14.914446796882535,0.07029130013211263,8,14.859159592692329,0.2133673573648992,8
34 +50,lattice,2,1.0,network,none,2.0,0.1454776748409216,0.030533023376685495,8,4.0,0.0,8,14.0,0.0,8,99.60936198732347,18.786701151627277,8,99.60936198732347,18.786701151627277,8,10.391262488637256,2.1809302411918217,8,2.5936412478078936,0.07513962064762525,8,0.7653815806578611,0.0304188821593163,8,0.08914074450121726,0.010477212315135832,8,0.0,0.0,8,8.16797,1.6498533511627194,8,0.3138485559597394,0.05134461577149248,8,0.0,0.0,8,0.2508736005980477,0.04573292850023104,8,0.044218952483671095,0.025029906936581036,8,14.0,0.0,8,14.0,0.0,8
35 +50,lattice,2,1.0,network,norms,2.0,0.15111303198637513,0.03142710224403439,8,4.0,0.0,8,12.866313671003441,0.09900606915086413,8,88.17138459878505,17.037034744131674,8,156.23465596718466,28.90279917379643,8,6.611029289786732,1.3280605534023506,8,2.593747504466484,0.07132555490136039,8,0.8046274089253356,0.03126022339215906,8,0.04425955908828928,0.005805568835724153,8,0.4365279343252023,0.007073627071543793,8,8.15097,1.693787594408292,8,0.3138210537587108,0.04834425661759926,8,0.0,0.0,8,0.26051339544377006,0.04554219862640405,8,0.045924832173994165,0.026068777477871074,8,12.937897093346395,0.0960366298811233,8,12.796347874138362,0.16481511859289966,8
36 +50,lattice,2,1.0,network,records,2.0,0.8987587276223951,0.06325741529212628,8,2.0,0.0,8,14.873379855457703,0.15477879381040027,8,16.63100284421571,1.3459739755084912,8,27.68337404119764,1.865177054092611,8,36.25929152978615,2.318994418194724,8,1.7087099446937906,0.053055954803145115,8,0.10124127237760493,0.06325741529212622,8,0.0,0.0,8,0.5611255735926479,0.00845176087387989,8,53.40365,2.67073230011118,8,0.12228928903796814,0.009931625764903912,8,0.0,0.0,8,0.971033375783242,0.020921549490941813,8,0.8255435953512709,0.11624117980266516,8,14.973022067153373,0.16454480028836743,8,14.771502509044465,0.18858641976050497,8
37 +50,lattice,2,1.0,none,central,0.5,0.07453980999053904,0.023008094620832614,8,8.0,0.0,8,14.868709848302426,0.12202559064723033,8,218.28150374586144,73.89529188874188,8,398.4839521884051,133.84507046065204,8,2.7449889073662272,0.8556600290042035,8,2.6349094364503745,0.2565504157984489,8,0.925460190009461,0.02300809462083265,8,0.0,0.0,8,0.5998706753719585,0.007339803929384996,8,2.7534199999999998,1.1311014754022481,8,0.2554459995160931,0.05464639907885179,8,679.525,55.00370766723694,8,0.1521717952956612,0.046893007469150316,8,0.0,0.0,8,14.914446796882535,0.07029130013211263,8,14.823758061929977,0.19099241785405494,8
38 +50,lattice,2,1.0,none,central,2.0,0.9782435472731877,0.025991268271521532,8,8.0,0.0,8,14.868709848302426,0.12202559064723033,8,15.208922574190233,0.42753858063221345,8,27.78313845627691,0.5489384273003446,8,36.00535624539206,0.711766752763812,8,1.6115396340585273,0.04362543935819283,8,0.02175645272681219,0.025991268271521522,8,0.0,0.0,8,0.5998706753719585,0.007339803929384996,8,46.86092,1.2528484478864255,8,0.10238746261351199,0.003179135289680979,8,81.3875,2.7787137312073007,8,0.9840541801294629,0.012495876544998143,8,0.972687119422194,0.044015924793867525,8,14.914446796882535,0.07029130013211263,8,14.823758061929977,0.19099241785405494,8
39 +50,lattice,2,1.0,none,federated,0.5,0.8435935652016926,0.1280683373655998,8,6.465869360067418,0.20137752210870868,8,14.868709848302426,0.12202559064723033,8,18.001384794854385,2.858122908945569,8,32.83197936701024,4.746764637076179,8,30.999150216660368,4.293481020730198,8,2.1233118405328324,0.26374725084976075,8,0.1564064347983074,0.1280683373655998,8,0.0,0.0,8,0.5998706753719585,0.007339803929384996,8,40.14842,5.151173306477995,8,0.10549468735421025,0.007376957612342994,8,97.3875,31.607376512453545,8,0.9840541801294629,0.012495876544998143,8,0.7099013404555747,0.2458382405779608,8,14.914446796882535,0.07029130013211263,8,14.823758061929977,0.19099241785405494,8
40 +50,lattice,2,1.0,none,federated,2.0,0.9782435472731877,0.025991268271521532,8,6.465869360067418,0.20137752210870868,8,14.868709848302426,0.12202559064723033,8,15.208922574190233,0.42753858063221345,8,27.78313845627691,0.5489384273003446,8,36.00535624539206,0.711766752763812,8,1.6115396340585273,0.04362543935819283,8,0.02175645272681219,0.025991268271521522,8,0.0,0.0,8,0.5998706753719585,0.007339803929384996,8,46.86092,1.2528484478864255,8,0.10238746261351199,0.003179135289680979,8,50.2125,4.792833191338919,8,0.9840541801294629,0.012495876544998143,8,0.972687119422194,0.044015924793867525,8,14.914446796882535,0.07029130013211263,8,14.823758061929977,0.19099241785405494,8
41 +50,lattice,2,1.0,none,none,2.0,0.16230696945203638,0.03372350023012002,8,4.0,0.0,8,14.0,0.0,8,89.1969694849485,16.311475378272757,8,89.1969694849485,16.311475378272757,8,11.593354960859742,2.4088214450085728,8,2.600257824528716,0.06571723946565508,8,0.7453879419387003,0.034663952532625796,8,0.09230508860926336,0.012187607256957235,8,0.0,0.0,8,9.10287,1.848271454861851,8,0.297695248781816,0.06165464491855298,8,0.0,0.0,8,0.2508736005980477,0.04573292850023104,8,0.07610885879157614,0.036215375400800436,8,14.0,0.0,8,14.0,0.0,8
42 +50,lattice,2,1.0,none,norms,2.0,0.16888755178458129,0.03573257948053432,8,4.0,0.0,8,12.907194979718508,0.09630205775287892,8,79.11665400482455,14.635748661886657,8,140.61846030417595,25.305032878168365,8,7.343622531914287,1.4853094280084689,8,2.601689339246643,0.06157430935897809,8,0.7873265967404053,0.037155679447160375,8,0.043785851475013446,0.0060955676232130555,8,0.4378819700052361,0.005410845563909102,8,9.13639,1.952506285835867,8,0.29697386574884965,0.06109050874053296,8,0.0,0.0,8,0.26051339544377006,0.04554219862640405,8,0.07963046729427989,0.03795826081672087,8,12.937897093346395,0.0960366298811233,8,12.87702230346864,0.1588670086797268,8
43 +50,lattice,2,1.0,none,records,2.0,0.9696240939671001,0.021309663488251647,8,2.0,0.0,8,14.91514156492606,0.1255147297996993,8,15.389887496340638,0.40998139426292346,8,25.66990052859315,0.6542380763956714,8,38.977984268329394,0.9803448608731182,8,1.6397229197432157,0.044577541041375415,8,0.030375906032899854,0.02130966348825166,8,0.0,0.0,8,0.5611930906914914,0.009021140550269119,8,57.46278,2.4938524100676056,8,0.09247311088150292,0.008380208431954214,8,0.0,0.0,8,0.971033375783242,0.020921549490941813,8,0.9689183360861708,0.03854728831436937,8,14.973022067153373,0.16454480028836743,8,14.857191168004448,0.17390881624409055,8
44 +50,lattice,8,0.0,distribution,central,0.5,0.07453980999053904,0.023008094620832614,8,8.0,0.0,8,16.0,0.0,8,234.6955408593038,79.03996539130206,8,414.8979893018475,138.9964452572353,8,2.633694134980002,0.8139626834026512,8,2.6243162161113913,0.2641537869184266,8,0.925460190009461,0.02300809462083265,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,2.71662,1.1292471725382864,8,0.2554459995160931,0.05464639907885179,8,679.525,55.00370766723694,8,0.1521717952956612,0.046893007469150316,8,0.0,0.0,8,16.0,0.0,8,16.0,0.0,8
45 +50,lattice,8,0.0,distribution,central,2.0,1.0,0.0,8,8.0,0.0,8,16.0,0.0,8,16.0,0.0,8,28.29946833919069,0.4209476331527883,8,35.343185033474356,0.5249757476804473,8,1.0,0.0,8,0.0,0.0,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,47.91162,1.6494444708446543,8,0.1029482691604418,0.0064463434089008865,8,81.3875,2.7787137312073007,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
46 +50,lattice,8,0.0,distribution,federated,0.5,0.8607630416339926,0.1190799414559957,8,6.465869360067418,0.20137752210870868,8,16.0,0.0,8,18.91880257976719,2.74626832262518,8,33.408960376766075,4.417647362408879,8,30.376505294979573,3.8588546160576525,8,1.918560424969667,0.3950367361568271,8,0.13923695836600736,0.1190799414559957,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,40.96662,4.752448425162397,8,0.10857232842563593,0.008275614523071444,8,97.3875,31.607376512453545,8,1.0,0.0,8,0.7283341522652522,0.2307583914568814,8,16.0,0.0,8,16.0,0.0,8
47 +50,lattice,8,0.0,distribution,federated,2.0,1.0,0.0,8,6.465869360067418,0.20137752210870868,8,16.0,0.0,8,16.0,0.0,8,28.29946833919069,0.4209476331527883,8,35.343185033474356,0.5249757476804473,8,1.0,0.0,8,0.0,0.0,8,0.0,0.0,8,0.5758817795983078,0.006299708972165379,8,47.91162,1.6494444708446543,8,0.1029482691604418,0.0064463434089008865,8,50.2125,4.792833191338919,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
48 +50,lattice,8,0.0,distribution,none,2.0,0.9076949113907367,0.012187607256957231,8,4.0,0.0,8,14.0,0.0,8,15.42609429004201,0.2051133454349072,8,15.42609429004201,0.2051133454349072,8,64.83535081362405,0.870543375496944,8,1.03122271061033,0.015938454459285482,8,0.0,0.0,8,0.09230508860926336,0.012187607256957235,8,0.0,0.0,8,53.61537,0.9619912381543378,8,0.1031458943355054,0.010001902570285683,8,0.0,0.0,8,0.9112891442478708,0.01588029016680051,8,0.9043200843091344,0.013011840606968405,8,14.0,0.0,8,14.0,0.0,8
49 +50,lattice,8,0.0,distribution,norms,2.0,0.9562141485249865,0.006095567623213068,8,4.0,0.0,8,14.0,0.0,8,14.641590982044775,0.09308180164058454,8,25.15828075732033,0.21948435887801832,8,39.75098528855823,0.3460051761003421,8,1.0308131956304527,0.016004004122241473,8,0.0,0.0,8,0.043785851475013446,0.0060955676232130555,8,0.4179864273505079,0.0058182505437119215,8,56.117869999999996,1.204547597114489,8,0.10225053217502467,0.010049088217263915,8,0.0,0.0,8,0.9559322767611537,0.010138450440265455,8,0.956431164320143,0.009320703928624104,8,14.0,0.0,8,14.0,0.0,8
50 +50,lattice,8,0.0,distribution,records,2.0,1.0,0.0,8,2.0,0.0,8,16.0,0.0,8,16.0,0.0,8,25.96583945002969,0.4475471795333709,8,38.5219810554273,0.652651196990032,8,1.0,0.0,8,0.0,0.0,8,0.0,0.0,8,0.5377362273348725,0.007831814363880396,8,59.26422,2.5642729895235417,8,0.09560550571192958,0.009616019345657865,8,0.0,0.0,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
51 +50,lattice,8,0.0,network,central,0.5,0.07586686122444125,0.024730934138430635,8,8.0,0.0,8,16.0,0.0,8,232.158883766494,79.99687406010422,8,412.36133220903764,140.0459037333032,8,2.660335665972613,0.8489759379033782,8,2.6243162161113913,0.2641537869184266,8,0.9241331387755587,0.0247309341384306,8,0.0,0.0,8,0.578427117020696,0.004574731404937013,8,2.7239,1.1368537441804654,8,0.2554459995160931,0.05464639907885179,8,664.7,45.50321809655727,8,0.1521717952956612,0.046893007469150316,8,0.0,0.0,8,16.0,0.0,8,16.0,0.0,8
52 +50,lattice,8,0.0,network,central,2.0,1.0,0.0,8,8.0,0.0,8,16.0,0.0,8,16.0,0.0,8,28.46775929256272,0.3086264128365905,8,35.13107358160866,0.3812276170780857,8,1.0009003601440576,0.0025466030534929025,8,0.0,0.0,8,0.0,0.0,8,0.578427117020696,0.004574731404937013,8,47.236399999999996,1.1821010501644933,8,0.14143085960804097,0.01832902900791936,8,80.25,1.991410124940185,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
53 +50,lattice,8,0.0,network,federated,0.5,0.8792475802165899,0.1561543216640124,8,6.489818743628307,0.23454328230115587,8,16.0,0.0,8,18.78226210917244,3.7775935473419424,8,33.40650282303699,6.6357341606758435,8,30.882152925852438,5.473153421256655,8,1.9125674704224325,0.3970264588676039,8,0.12075241978341011,0.1561543216640124,8,0.0,0.0,8,0.578427117020696,0.004574731404937013,8,41.4014,7.525826339532422,8,0.14110911630666365,0.0186265950789103,8,94.0375,33.10241413293857,8,1.0,0.0,8,0.760530712797787,0.3086585714541247,8,16.0,0.0,8,16.0,0.0,8
54 +50,lattice,8,0.0,network,federated,2.0,1.0,0.0,8,6.489818743628307,0.23454328230115587,8,16.0,0.0,8,16.0,0.0,8,28.46775929256272,0.3086264128365905,8,35.13107358160866,0.3812276170780857,8,1.0009003601440576,0.0025466030534929025,8,0.0,0.0,8,0.0,0.0,8,0.578427117020696,0.004574731404937013,8,47.236399999999996,1.1821010501644933,8,0.14143085960804097,0.01832902900791936,8,49.9875,4.750093984032617,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
55 +50,lattice,8,0.0,network,none,2.0,0.9108592554987828,0.010477212315135808,8,4.0,0.0,8,14.0,0.0,8,15.371883758350108,0.1769987172862038,8,15.371883758350108,0.1769987172862038,8,65.0613753927702,0.7483723082239875,8,1.0406669175300578,0.010471287976987287,8,0.0,0.0,8,0.08914074450121726,0.010477212315135832,8,0.0,0.0,8,54.277969999999996,1.1262648611608694,8,0.1405854267726595,0.016294141672339023,8,0.0,0.0,8,0.9112891442478708,0.01588029016680051,8,0.910468630492482,0.007186421927875592,8,14.0,0.0,8,14.0,0.0,8
56 +50,lattice,8,0.0,network,norms,2.0,0.9557404409117107,0.005805568835724156,8,4.0,0.0,8,14.0,0.0,8,14.648804506654647,0.08954633472430089,8,25.080065588027136,0.22801106246905334,8,39.87516855531007,0.3601066269065471,8,1.0409814784014944,0.010867201547034749,8,0.0,0.0,8,0.04425955908828928,0.005805568835724153,8,0.4158753075662102,0.0064833794212805235,8,56.58547,1.3329933963184415,8,0.13873649408900535,0.016566877159548424,8,0.0,0.0,8,0.9559322767611537,0.010138450440265455,8,0.9554706128527855,0.007583582284192274,8,14.0,0.0,8,14.0,0.0,8
57 +50,lattice,8,0.0,network,records,2.0,1.0,0.0,8,2.0,0.0,8,16.0,0.0,8,16.0,0.0,8,25.90566350118141,0.34584404123147255,8,38.60766727989034,0.5196197209004223,8,1.0,0.0,8,0.0,0.0,8,0.0,0.0,8,0.5367079926413159,0.006235436650805072,8,59.5907,2.140946004737157,8,0.13186597554054053,0.015729661602957766,8,0.0,0.0,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
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219 +50,smallworld,8,0.0,network,central,0.5,0.06761900221465607,0.01777105915349715,8,8.0,0.0,8,16.0,0.0,8,257.8443836488894,96.6722931762886,8,454.83866511916835,173.57412496804704,8,2.40576636705251,0.651325829074352,8,2.4348247485683006,0.42944986549234476,8,0.9323809977853439,0.01777105915349718,8,0.0,0.0,8,0.5738878171183637,0.005502812651871207,8,2.42602,0.9328818623721105,8,0.31457136556626064,0.0641751358586998,8,706.0,50.25438857879553,8,0.1351777807893936,0.03554134967730394,8,0.0,0.0,8,16.0,0.0,8,16.0,0.0,8
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221 +50,smallworld,8,0.0,network,federated,0.5,0.6268638422940823,0.2564554811119316,8,6.536734375898634,0.2407761712098799,8,16.0,0.0,8,29.63508816184771,12.320022429945974,8,52.06930622038244,21.285630984919184,8,22.233422665040596,9.0696826153835,8,1.8343976509828654,0.2740373665267425,8,0.3731361577059177,0.25645548111193167,8,0.0,0.0,8,0.5738878171183637,0.005502812651871207,8,29.92852,12.553084149118781,8,0.17724642269760096,0.04241733399420508,8,133.125,55.198414832312,8,0.8644506917787924,0.18925873905483734,8,0.3909084771067818,0.38452626117454436,8,16.0,0.0,8,16.0,0.0,8
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223 +50,smallworld,8,0.0,network,none,2.0,0.9109537906661027,0.010009768552086322,8,4.0,0.0,8,14.0,0.0,8,15.370136131343024,0.1694116146337291,8,15.370136131343024,0.1694116146337291,8,65.06812790472162,0.7149834680061665,8,1.0502391239081983,0.024453728879124698,8,0.0,0.0,8,0.08904620933389734,0.010009768552086323,8,0.0,0.0,8,53.24632,2.255609094400637,8,0.13878908527645742,0.01538089503587238,8,0.0,0.0,8,0.9162281143899711,0.01200555477164139,8,0.905531113233678,0.01231452908672841,8,14.0,0.0,8,14.0,0.0,8
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225 +50,smallworld,8,0.0,network,records,2.0,1.0,0.0,8,2.0,0.0,8,16.0,0.0,8,16.0,0.0,8,26.106163987875377,0.3612733228871194,8,38.311597763430534,0.5341816191450617,8,1.0015642468174113,0.002911792656806439,8,0.0,0.0,8,0.0,0.0,8,0.5402608268388336,0.006410179429740731,8,58.4035,2.1449392696297944,8,0.1441037562411285,0.017862767188052006,8,0.0,0.0,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
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230 +50,smallworld,8,0.0,none,none,2.0,0.9083203494525485,0.00797392399171785,8,4.0,0.0,8,14.0,0.0,8,15.41409918368908,0.13472240269699423,8,15.41409918368908,0.13472240269699423,8,64.88002496089632,0.56956599940842,8,1.0412593073283285,0.021981333240386185,8,0.0,0.0,8,0.0916796505474515,0.007973923991717867,8,0.0,0.0,8,54.07617,1.7966369540258902,8,0.1096576934442723,0.011199324208653431,8,0.0,0.0,8,0.9162281143899711,0.01200555477164139,8,0.9006169061492353,0.009464439969271344,8,14.0,0.0,8,14.0,0.0,8
231 +50,smallworld,8,0.0,none,norms,2.0,0.9558000136630016,0.005421551005625657,8,4.0,0.0,8,14.0,0.0,8,14.647828921811438,0.08328406452289913,8,25.092444884798805,0.3590414625041595,8,39.85972536659133,0.5665190551955874,8,1.0422971297841188,0.021660121280997226,8,0.0,0.0,8,0.04419998633699844,0.00542155100562566,8,0.41617203893142823,0.00626910823668237,8,56.52617,1.6269972698194668,8,0.10712982047208833,0.01103063833205813,8,0.0,0.0,8,0.9586687003061669,0.004664051193524072,8,0.9531504978240639,0.010709947169866917,8,14.0,0.0,8,14.0,0.0,8
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233 +50,smallworld,8,1.0,distribution,central,0.5,0.06785323916337932,0.017564527043625947,8,8.0,0.0,8,15.396801089786099,0.0749803781625169,8,246.19410637983515,89.08012817241749,8,443.1883878501141,165.9954477239154,8,2.462599749275004,0.658718037435031,8,2.4348247485683006,0.42944986549234476,8,0.9321467608366207,0.017564527043625943,8,0.0,0.0,8,0.5873630022446954,0.007076018460565791,8,2.4483,0.9290907055826142,8,0.31457136556626064,0.0641751358586998,8,701.7375,67.00590992058619,8,0.1351777807893936,0.03554134967730394,8,0.0,0.0,8,14.943555181422864,0.1193287271772584,8,15.855572723799224,0.17277742722563227,8
234 +50,smallworld,8,1.0,distribution,central,2.0,1.0,0.0,8,8.0,0.0,8,15.396801089786099,0.0749803781625169,8,15.396801089786099,0.0749803781625169,8,27.62491358357996,0.39401465977418815,8,36.20561355616331,0.5132538220464822,8,1.0,0.0,8,0.0,0.0,8,0.0,0.0,8,0.5873630022446954,0.007076018460565791,8,48.213300000000004,1.655271733169084,8,0.11076587185985272,0.010717043640139094,8,81.8625,2.7892331255331517,8,1.0,0.0,8,1.0,0.0,8,14.943555181422864,0.1193287271772584,8,15.855572723799224,0.17277742722563227,8
235 +50,smallworld,8,1.0,distribution,federated,0.5,0.7239171384688156,0.2979309753461834,8,6.516759221549927,0.20381886503856075,8,15.396801089786099,0.0749803781625169,8,26.023216587806136,13.842531902298234,8,46.52062387966236,24.33404165379121,8,26.132587604302035,10.618103462425003,8,1.9438639685977344,0.30615288134697105,8,0.27608286153118444,0.2979309753461834,8,0.0,0.0,8,0.5873630022446954,0.007076018460565791,8,34.4283,14.20256457914958,8,0.1388812771293176,0.04236063837510439,8,123.23125,55.65640084803493,8,0.8644506917787924,0.18925873905483734,8,0.5824839316903634,0.45102928700492334,8,14.943555181422864,0.1193287271772584,8,15.855572723799224,0.17277742722563227,8
236 +50,smallworld,8,1.0,distribution,federated,2.0,1.0,0.0,8,6.516759221549927,0.20381886503856075,8,15.396801089786099,0.0749803781625169,8,15.396801089786099,0.0749803781625169,8,27.62491358357996,0.39401465977418815,8,36.20561355616331,0.5132538220464822,8,1.0,0.0,8,0.0,0.0,8,0.0,0.0,8,0.5873630022446954,0.007076018460565791,8,48.213300000000004,1.655271733169084,8,0.11076587185985272,0.010717043640139094,8,51.4875,4.272148171587686,8,1.0,0.0,8,1.0,0.0,8,14.943555181422864,0.1193287271772584,8,15.855572723799224,0.17277742722563227,8
237 +50,smallworld,8,1.0,distribution,none,2.0,0.9083203494525485,0.00797392399171785,8,4.0,0.0,8,14.0,0.0,8,15.41409918368908,0.13472240269699423,8,15.41409918368908,0.13472240269699423,8,64.88002496089632,0.56956599940842,8,1.0412593073283285,0.021981333240386185,8,0.0,0.0,8,0.0916796505474515,0.007973923991717867,8,0.0,0.0,8,54.07617,1.7966369540258902,8,0.1096576934442723,0.011199324208653431,8,0.0,0.0,8,0.9162281143899711,0.01200555477164139,8,0.9006169061492353,0.009464439969271344,8,14.0,0.0,8,14.0,0.0,8
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286 +200,lattice,2,1.0,network,none,2.0,0.15032186570694886,0.021701060502887327,8,4.0,0.0,8,14.0,0.0,8,94.68278850901093,12.381002211252959,8,94.68278850901093,12.381002211252959,8,10.737276121924918,1.5500757502062372,8,2.6093341106824504,0.028204015864264537,8,0.7672258285279839,0.020909323284945956,8,0.08245230576506725,0.0068406199464400895,8,0.0,0.0,8,8.5258725,1.109255395913983,8,0.304914535168413,0.03254973533549626,8,0.0,0.0,8,0.2546331887389363,0.032783894892996976,8,0.045270952039398245,0.01736184469278935,8,14.0,0.0,8,14.0,0.0,8
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291 +200,lattice,2,1.0,none,federated,0.5,0.9643862984150744,0.017208384356615525,8,6.614643882345542,0.15046375959975164,8,14.885130911597454,0.046025690937507656,8,15.439223491948031,0.28559235716342085,8,29.180941544740644,0.6125344815445124,8,34.28193329841575,0.7074871822520782,8,1.6745185541794918,0.02707069817616062,8,0.03561370158492564,0.01720838435661552,8,0.0,0.0,8,0.6130689792181245,0.0026969622115790622,8,42.8379875,1.1058257195643453,8,0.11280373358592666,0.010634451763888957,8,41.75,7.043335248912367,8,0.963910774715651,0.012852482464694915,8,0.9649096277890473,0.026604094004439863,8,14.878142625972687,0.10313627450104769,8,14.891223654027733,0.08311131574162016,8
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293 +200,lattice,2,1.0,none,none,2.0,0.15438841662974462,0.018667710682494187,8,4.0,0.0,8,14.0,0.0,8,91.86321707669818,11.239128170410037,8,91.86321707669818,11.239128170410037,8,11.027744044981757,1.3334079058924424,8,2.6192420794531754,0.03186295902548205,8,0.763401311672992,0.020447585008836196,8,0.08221027169726346,0.006582107602747541,8,0.0,0.0,8,8.775755,1.026943042557446,8,0.30509929825305165,0.02631246479011088,8,0.0,0.0,8,0.2546331887389363,0.032783894892996976,8,0.053553674614283814,0.013701530303695269,8,14.0,0.0,8,14.0,0.0,8
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302 +200,lattice,8,0.0,distribution,records,2.0,1.0,0.0,8,2.0,0.0,8,16.0,0.0,8,16.0,0.0,8,25.952033441080015,0.1300048338409279,8,38.53346977327021,0.1924890845577991,8,1.0005855522682445,0.0016561919184596334,8,0.0,0.0,8,0.0,0.0,8,0.5375983627207575,0.002309869014693632,8,59.254945,0.7737335656412953,8,0.09764443976417148,0.006304537592732664,8,0.0,0.0,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
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308 +200,lattice,8,0.0,network,norms,2.0,0.9601212883752219,0.003770450229812989,8,4.0,0.0,8,14.0,0.0,8,14.581687821317669,0.05725699079111275,8,24.89103649637431,0.20832664809566842,8,40.17754673499792,0.3334573565948792,8,1.0363221405408636,0.00539549485644305,8,0.0,0.0,8,0.039878711624778046,0.003770450229813001,8,0.41414197032270506,0.00556327884648867,8,57.2564975,1.205716116999711,8,0.12591440470116327,0.0067901957877172445,8,0.0,0.0,8,0.9573088512929115,0.004505145173044419,8,0.962911954134438,0.005698178564257575,8,14.0,0.0,8,14.0,0.0,8
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314 +200,lattice,8,0.0,none,none,2.0,0.9177897283027365,0.006582107602747537,8,4.0,0.0,8,14.0,0.0,8,15.254723116920271,0.10907432321037078,8,15.254723116920271,0.10907432321037078,8,65.55640916448118,0.47015054305339676,8,1.0328081086319907,0.004212182345453842,8,0.0,0.0,8,0.08221027169726346,0.006582107602747541,8,0.0,0.0,8,55.043255,1.1373261806661135,8,0.10095033622527681,0.005268141646814916,8,0.0,0.0,8,0.913935617489652,0.007181793545283254,8,0.9216352240804515,0.007203123323300676,8,14.0,0.0,8,14.0,0.0,8
315 +200,lattice,8,0.0,none,norms,2.0,0.9603428143704258,0.0025625561485311055,8,4.0,0.0,8,14.0,0.0,8,14.578218216502018,0.03884994683082013,8,24.89322169802114,0.22188461180685617,8,40.174368130576575,0.35774532011191534,8,1.033008471660103,0.0043678329168437315,8,0.0,0.0,8,0.039657185629574265,0.00256255614853112,8,0.4143367128531453,0.0044375435375196455,8,57.22138,1.1166040872471956,8,0.09880739573606122,0.005052167576973884,8,0.0,0.0,8,0.9573088512929115,0.004505145173044419,8,0.9634413636898187,0.0023467324275071493,8,14.0,0.0,8,14.0,0.0,8
316 +200,lattice,8,0.0,none,records,2.0,1.0,0.0,8,2.0,0.0,8,16.0,0.0,8,16.0,0.0,8,25.952033441080015,0.1300048338409279,8,38.53346977327021,0.1924890845577991,8,1.0005855522682445,0.0016561919184596334,8,0.0,0.0,8,0.0,0.0,8,0.5375983627207575,0.002309869014693632,8,59.254945,0.7737335656412953,8,0.09764443976417148,0.006304537592732664,8,0.0,0.0,8,1.0,0.0,8,1.0,0.0,8,16.0,0.0,8,16.0,0.0,8
317 +200,lattice,8,1.0,distribution,central,0.5,0.08010193428345819,0.013122963793378099,8,12.0,0.0,8,15.384715815550239,0.05071663264268987,8,196.86761181614406,34.06307327003074,8,366.2787550249242,62.49106199731864,8,2.7967983634241196,0.45398505382437954,8,2.565761278132555,0.16427190710260103,8,0.9198980657165419,0.01312296379337812,8,0.0,0.0,8,0.6023717605578003,0.002911252013404064,8,2.7616475,0.5851571680387609,8,0.2568861675492087,0.024018273394466667,8,2310.6625,105.85844911956725,8,0.1584677149531424,0.02595097813523643,8,0.0,0.0,8,14.878142625972687,0.10313627450104769,8,15.901636655915208,0.0634928944652326,8
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321 +200,lattice,8,1.0,distribution,none,2.0,0.9177897283027365,0.006582107602747537,8,4.0,0.0,8,14.0,0.0,8,15.254723116920271,0.10907432321037078,8,15.254723116920271,0.10907432321037078,8,65.55640916448118,0.47015054305339676,8,1.0328081086319907,0.004212182345453842,8,0.0,0.0,8,0.08221027169726346,0.006582107602747541,8,0.0,0.0,8,55.043255,1.1373261806661135,8,0.10095033622527681,0.005268141646814916,8,0.0,0.0,8,0.913935617489652,0.007181793545283254,8,0.9216352240804515,0.007203123323300676,8,14.0,0.0,8,14.0,0.0,8
322 +200,lattice,8,1.0,distribution,norms,2.0,0.9603428143704258,0.0025625561485311055,8,4.0,0.0,8,13.391197987761192,0.05336822191128174,8,13.94428049878461,0.06891627992644377,8,24.25928398030373,0.2065804371780283,8,41.223940916040384,0.35014318413603496,8,1.033008471660103,0.0043678329168437315,8,0.0,0.0,8,0.039657185629574265,0.00256255614853112,8,0.4251671112458994,0.004994922310702045,8,57.245955,1.116116951667701,8,0.09880739573606122,0.005052167576973884,8,0.0,0.0,8,0.9573088512929115,0.004505145173044419,8,0.9634413636898187,0.0023467324275071493,8,12.859998404354839,0.07383783971798052,8,13.926584595406855,0.09164608982813274,8
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742 +800,smallworld,8,1.0,distribution,norms,2.0,0.9601193363815247,0.001823806013131465,8,4.0,0.0,8,13.42063697690124,0.029580403116878894,8,13.978166621442961,0.051100714908357665,8,24.378866203714335,0.0770765704878328,8,41.01949249321478,0.12928575451620256,8,1.0316554627551915,0.003403705981992892,8,0.0,0.0,8,0.0398806636184753,0.001823806013131444,8,0.4266272381508855,0.0013096579492502505,8,56.751936875,0.2678009457859283,8,0.10545937027520598,0.003120374355294802,8,0.0,0.0,8,0.9597297756069584,0.0031185830245196353,8,0.9605039856705965,0.001594118267476644,8,12.897143087237662,0.01953461499378298,8,13.943384599150766,0.04802590269819207,8
743 +800,smallworld,8,1.0,distribution,records,2.0,1.0,0.0,8,2.0,0.0,8,15.422702197462174,0.030180081531688503,8,15.422702197462174,0.030180081531688503,8,25.405943462066244,0.07950192124234519,8,39.36120391769328,0.12249633487998045,8,1.0000711619963312,0.00020127652067419437,8,0.0,0.0,8,0.0,0.0,8,0.5503910694168005,0.0009639226393597416,8,59.084695625,0.35966742244385685,8,0.10516129167968272,0.002992676529440573,8,0.0,0.0,8,1.0,0.0,8,1.0,0.0,8,14.881998655399537,0.049846523848124207,8,15.964108214026766,0.038219305882854875,8
744 +800,smallworld,8,1.0,network,central,0.5,0.08710707414227414,0.015652284958581193,8,16.0,0.0,8,14.889860423984844,0.04026325063254003,8,175.24233939480908,27.51271596710864,8,332.8239679796158,52.51674380905494,8,3.080590121013763,0.5536077255130329,8,2.5846028230075486,0.12386457415331802,8,0.9128929258577259,0.0156522849585812,8,0.0,0.0,8,0.6148900575690195,0.002493626041916089,8,3.05930125,0.6988038964327852,8,0.26885772089547366,0.019254944131772853,8,8913.3375,237.24508688274304,8,0.17461969952264308,0.032268255368011284,8,0.0,0.0,8,14.899935219363162,0.05363983854066269,8,14.880035000702811,0.05995186791589315,8
745 +800,smallworld,8,1.0,network,central,2.0,1.0,0.0,8,16.0,0.0,8,14.889860423984844,0.04026325063254003,8,14.889860423984844,0.04026325063254003,8,28.277757231029295,0.09201643048002281,8,35.36381141167519,0.11518313104321708,8,1.0033150367978696,0.0019133158607582388,8,0.0,0.0,8,0.0,0.0,8,0.6148900575690195,0.002493626041916089,8,43.9750825,0.4126126882873502,8,0.15800933094841574,0.0036302934954783993,8,1195.2,11.14130025753599,8,1.0,0.0,8,1.0,0.0,8,14.899935219363162,0.05363983854066269,8,14.880035000702811,0.05995186791589315,8
746 +800,smallworld,8,1.0,network,federated,0.5,1.0,0.0,8,7.592519714910821,0.1318077945634356,8,14.889860423984844,0.04026325063254003,8,14.889860423984844,0.04026325063254003,8,28.277757231029295,0.09201643048002281,8,35.36381141167519,0.11518313104321708,8,1.0033150367978696,0.0019133158607582388,8,0.0,0.0,8,0.0,0.0,8,0.6148900575690195,0.002493626041916089,8,43.9750825,0.4126126882873502,8,0.15800933094841574,0.0036302934954783993,8,83.85,10.832490809728714,8,1.0,0.0,8,1.0,0.0,8,14.899935219363162,0.05363983854066269,8,14.880035000702811,0.05995186791589315,8
747 +800,smallworld,8,1.0,network,federated,2.0,1.0,0.0,8,7.592519714910821,0.1318077945634356,8,14.889860423984844,0.04026325063254003,8,14.889860423984844,0.04026325063254003,8,28.277757231029295,0.09201643048002281,8,35.36381141167519,0.11518313104321708,8,1.0033150367978696,0.0019133158607582388,8,0.0,0.0,8,0.0,0.0,8,0.6148900575690195,0.002493626041916089,8,43.9750825,0.4126126882873502,8,0.15800933094841574,0.0036302934954783993,8,83.85,10.832490809728714,8,1.0,0.0,8,1.0,0.0,8,14.899935219363162,0.05363983854066269,8,14.880035000702811,0.05995186791589315,8
748 +800,smallworld,8,1.0,network,none,2.0,0.9161076059656031,0.0028727733737976633,8,4.0,0.0,8,14.0,0.0,8,15.282179332658579,0.04802646826575125,8,15.282179332658579,0.04802646826575125,8,65.43625756897166,0.2051980981284104,8,1.040265359921571,0.004733727250644726,8,0.0,0.0,8,0.08389239403439683,0.0028727733737976837,8,0.0,0.0,8,54.340218125,0.537368879215714,8,0.13599761243978734,0.003125192984979739,8,0.0,0.0,8,0.9149343009764334,0.004284669974142995,8,0.9172840829571166,0.0029363607973697074,8,14.0,0.0,8,14.0,0.0,8
749 +800,smallworld,8,1.0,network,norms,2.0,0.9602095212074544,0.0020321646724711564,8,4.0,0.0,8,12.885244839350635,0.02258124242510157,8,13.41924905925664,0.03478863402110472,8,23.847164923244918,0.11562498588747834,8,41.93456828023476,0.20327817232643833,8,1.0404187791143709,0.004288492142431437,8,0.0,0.0,8,0.03979047879254562,0.0020321646724711425,8,0.43727335688090807,0.002172953167017274,8,56.627564375000006,0.5384833481603509,8,0.13433672440117664,0.003098033277308402,8,0.0,0.0,8,0.9597297756069584,0.0031185830245196353,8,0.9606931630455794,0.001341987983008082,8,12.897143087237662,0.01953461499378298,8,12.873343796195678,0.03859905049726136,8
750 +800,smallworld,8,1.0,network,records,2.0,1.0,0.0,8,2.0,0.0,8,14.895305907166422,0.034607709032374284,8,14.895305907166422,0.034607709032374284,8,24.891042348824353,0.11054259067296826,8,40.17578686008053,0.17795162581628796,8,1.001733896580523,0.0004863749152577806,8,0.0,0.0,8,0.0,0.0,8,0.5622760226494586,0.0014768503288847162,8,59.033894375,0.5434589718082095,8,0.13617407852149668,0.002516808252366795,8,0.0,0.0,8,1.0,0.0,8,1.0,0.0,8,14.881998655399537,0.049846523848124207,8,14.908599206979003,0.03349764670881034,8
751 +800,smallworld,8,1.0,none,central,0.5,0.0869098689475028,0.01587204277794618,8,16.0,0.0,8,14.894814814396085,0.031680844187260464,8,175.85389710556254,28.127622360958146,8,333.4355256903693,53.14379701166643,8,3.0762510918262382,0.5564463155963828,8,2.5846028230075486,0.12386457415331802,8,0.9130901310524973,0.015872042777946203,8,0.0,0.0,8,0.6142815824156258,0.0017072099687691054,8,3.057940625,0.6999718155623814,8,0.26885772089547366,0.019254944131772853,8,8967.0625,229.9957511253507,8,0.17461969952264308,0.032268255368011284,8,0.0,0.0,8,14.899935219363162,0.05363983854066269,8,14.889560121369662,0.03278278768418675,8
752 +800,smallworld,8,1.0,none,central,2.0,1.0,0.0,8,16.0,0.0,8,14.894814814396085,0.031680844187260464,8,14.894814814396085,0.031680844187260464,8,28.24580647196583,0.09990957274371895,8,35.403873527591244,0.1253715687233869,8,1.0002588371921903,0.0003609279857688506,8,0.0,0.0,8,0.0,0.0,8,0.6142815824156258,0.0017072099687691054,8,44.096534375,0.34203979077667745,8,0.12701746384490448,0.00460097953911085,8,1198.475,9.218575966880248,8,1.0,0.0,8,1.0,0.0,8,14.899935219363162,0.05363983854066269,8,14.889560121369662,0.03278278768418675,8
753 +800,smallworld,8,1.0,none,federated,0.5,1.0,0.0,8,7.4581631138072995,0.09498312430209727,8,14.894814814396085,0.031680844187260464,8,14.894814814396085,0.031680844187260464,8,28.24580647196583,0.09990957274371895,8,35.403873527591244,0.1253715687233869,8,1.0002588371921903,0.0003609279857688506,8,0.0,0.0,8,0.0,0.0,8,0.6142815824156258,0.0017072099687691054,8,44.096534375,0.34203979077667745,8,0.12701746384490448,0.00460097953911085,8,73.21875,6.980326307354325,8,1.0,0.0,8,1.0,0.0,8,14.899935219363162,0.05363983854066269,8,14.889560121369662,0.03278278768418675,8
754 +800,smallworld,8,1.0,none,federated,2.0,1.0,0.0,8,7.4581631138072995,0.09498312430209727,8,14.894814814396085,0.031680844187260464,8,14.894814814396085,0.031680844187260464,8,28.24580647196583,0.09990957274371895,8,35.403873527591244,0.1253715687233869,8,1.0002588371921903,0.0003609279857688506,8,0.0,0.0,8,0.0,0.0,8,0.6142815824156258,0.0017072099687691054,8,44.096534375,0.34203979077667745,8,0.12701746384490448,0.00460097953911085,8,73.21875,6.980326307354325,8,1.0,0.0,8,1.0,0.0,8,14.899935219363162,0.05363983854066269,8,14.889560121369662,0.03278278768418675,8
755 +800,smallworld,8,1.0,none,none,2.0,0.9160283926563294,0.002517546896223521,8,4.0,0.0,8,14.0,0.0,8,15.283469981842364,0.041964684065027395,8,15.283469981842364,0.041964684065027395,8,65.4305994754521,0.17982477830168273,8,1.0314097046857331,0.003243480372091473,8,0.0,0.0,8,0.08397160734367057,0.002517546896223524,8,0.0,0.0,8,54.479355625,0.2453320170479964,8,0.10742388593286593,0.0032225850796759477,8,0.0,0.0,8,0.9149343009764334,0.004284669974142995,8,0.9171098807770123,0.0038746118964100846,8,14.0,0.0,8,14.0,0.0,8
756 +800,smallworld,8,1.0,none,norms,2.0,0.9601193363815247,0.001823806013131465,8,4.0,0.0,8,12.89556929059941,0.030872339979273102,8,13.431291405844817,0.05222894505548592,8,23.83199098811619,0.07969743519971224,8,41.96081491896397,0.1400019190306086,8,1.0316554627551915,0.003403705981992892,8,0.0,0.0,8,0.0398806636184753,0.001823806013131444,8,0.4364172277875623,0.0013022934078170368,8,56.77297,0.26801529600538876,8,0.10545937027520598,0.003120374355294802,8,0.0,0.0,8,0.9597297756069584,0.0031185830245196353,8,0.9605039856705965,0.001594118267476644,8,12.897143087237662,0.01953461499378298,8,12.893877173247855,0.046509841942535886,8
757 +800,smallworld,8,1.0,none,records,2.0,1.0,0.0,8,2.0,0.0,8,14.892026769176468,0.024060597856534506,8,14.892026769176468,0.024060597856534506,8,24.875268033780536,0.07887369990278023,8,40.200923778176815,0.12684609023593618,8,1.0000711619963312,0.00020127652067419437,8,0.0,0.0,8,0.0,0.0,8,0.5621326429373054,0.0008166090597191612,8,59.105959375,0.3598746830241015,8,0.10516129167968272,0.002992676529440573,8,0.0,0.0,8,1.0,0.0,8,1.0,0.0,8,14.881998655399537,0.049846523848124207,8,14.901976505827426,0.03767457187049087,8
added results/simulated/institution_loss_shares.csv +7 −0
@@ -0,0 +1,7 @@
1 +regime,admin_capacity_ratio,welfare_loss,bits_loss,success_loss,n_cells
2 +central,0.5,1.0,1.0,1.0,108
3 +central,2.0,0.5,0.5,0.0,108
4 +federated,0.5,0.5555555555555556,0.5555555555555556,0.2222222222222222,108
5 +federated,2.0,0.5,0.5,0.0,108
6 +norms,2.0,0.06481481481481481,1.0,0.0,108
7 +records,2.0,0.0,0.5,0.0,108
added results/simulated/paired_vs_none.csv +7 −0
@@ -0,0 +1,7 @@
1 +regime,admin_capacity_ratio,n_pairs,share_lower_bits_per_success,share_lower_bits_incl_setup,share_higher_success,share_higher_welfare,mean_d_bits_per_success,mean_d_success,mean_d_welfare,ci_d_bits,ci_d_success,ci_d_welfare
2 +norms,2.0,864,0.9965277777777778,0.0,0.9930555555555556,0.9004629629629629,-5.453626571602955,0.03150570529237053,1.512692314814815,"(np.float64(-5.840198369172916), np.float64(-5.067054774032994))","(np.float64(0.02979567495840705), np.float64(0.033215735626334016))","(np.float64(1.4095988756153452), np.float64(1.6157857540142848))"
3 +records,2.0,864,0.7118055555555556,0.5,1.0,1.0,-43.568315884029545,0.43430567686480614,25.67052300925926,"(np.float64(-46.71216614792117), np.float64(-40.42446562013792))","(np.float64(0.41152241162750325), np.float64(0.45708894210210904))","(np.float64(24.299082507371715), np.float64(27.041963511146804))"
4 +central,0.5,864,0.004629629629629629,0.0,0.006944444444444444,0.0,145.924417767732,-0.4423576747013016,-28.015212094907408,"(np.float64(140.6247596052974), np.float64(151.22407593016658))","(np.float64(-0.46784278110485705), np.float64(-0.41687256829774616))","(np.float64(-29.548051390515205), np.float64(-26.48237279929961))"
5 +central,2.0,864,0.7175925925925926,0.5,1.0,0.5,-43.09533516187988,0.41402048893703874,11.641107349537037,"(np.float64(-46.193939883471444), np.float64(-39.99673044028832))","(np.float64(0.3923990757854621), np.float64(0.43564190208861536))","(np.float64(10.285598724756067), np.float64(12.996615974318008))"
6 +federated,0.5,864,0.6134259259259259,0.4444444444444444,0.8333333333333334,0.4699074074074074,-28.558350401197146,0.2723000230279377,4.728190682870371,"(np.float64(-32.30285142162753), np.float64(-24.813849380766758))","(np.float64(0.24347682099906254), np.float64(0.3011232250568129))","(np.float64(3.1153619588384767), np.float64(6.341019406902264))"
7 +federated,2.0,864,0.7175925925925926,0.5,1.0,0.5,-43.09533516187988,0.41402048893703874,11.641107349537037,"(np.float64(-46.193939883471444), np.float64(-39.99673044028832))","(np.float64(0.3923990757854621), np.float64(0.43564190208861536))","(np.float64(10.285598724756067), np.float64(12.996615974318008))"
added results/simulated/regime_by_N.csv +22 −0
@@ -0,0 +1,22 @@
1 +regime,N,admin_capacity_ratio,success_rate,bits_per_task,bits_per_success,bits_per_success_incl_setup,msgs_per_task,welfare_per_agent,gini_benefit,fail_latency_share,fail_decode_share
2 +central,50,0.5,0.07000702092006846,15.523472506410773,247.3239277805108,443.46722424459506,8.0,2.5188816666666667,0.29957717974992903,0.9299929790799316,0.0
3 +central,50,2.0,0.938876193608848,15.523472506410773,16.7966014597402,30.08066353815938,8.0,44.99263166666667,0.1448994202920108,0.0611238063911521,0.0
4 +central,200,0.5,0.08486946710317224,15.51953948873745,187.8692058016899,349.0061529377101,12.0,2.9576837499999997,0.2762563345931926,0.9151305328968279,0.0
5 +central,200,2.0,0.9355619373004647,15.51953948873745,16.76141522774607,31.14796643359055,12.0,41.313725416666664,0.1572580746845818,0.06443806269953524,0.0
6 +central,800,0.5,0.0869548472329378,15.535296888900088,182.19553127738445,338.9184814413825,16.0,3.0378565625,0.27894185297299945,0.9130451527670621,0.0
7 +central,800,2.0,0.9365276952618871,15.535296888900088,16.77138938326324,31.200820207660904,16.0,41.17702322916667,0.15768025936019936,0.063472304738113,0.0
8 +federated,50,0.5,0.5542492637319347,15.523472506410773,59.0086873784882,105.45082484217043,6.809173313295386,26.071381666666667,0.1978285567640614,0.4457507362680653,0.0
9 +federated,50,2.0,0.938876193608848,15.523472506410773,16.7966014597402,30.08066353815938,6.809173313295386,44.99263166666667,0.1448994202920108,0.0611238063911521,0.0
10 +federated,200,0.5,0.8950274694500747,15.51953948873745,18.160283591046287,33.75080811926969,8.063519270023129,39.49622541666667,0.15935926188927232,0.10497253054992521,0.0
11 +federated,200,2.0,0.9355619373004647,15.51953948873745,16.76141522774607,31.14796643359055,8.063519270023129,41.313725416666664,0.1572580746845818,0.06443806269953524,0.0
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added results/simulated/shock_effects.csv +15 −0
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433 + "8": {
434 + "success_rate": 1.0,
435 + "msgs_per_task": 6.6146,
436 + "root_load_mean": 41.75
437 + },
438 + "16": {
439 + "success_rate": 1.0,
440 + "msgs_per_task": 6.2688,
441 + "root_load_mean": 208.3938
442 + }
443 + },
444 + "coding_gain": {
445 + "s=16,zipf=0.0": {
446 + "H": 4.0,
447 + "L_code": 4.0,
448 + "L_raw": 4.0,
449 + "bits_per_task": 10.0
450 + },
451 + "s=64,zipf=0.0": {
452 + "H": 6.0,
453 + "L_code": 6.0,
454 + "L_raw": 6.0,
455 + "bits_per_task": 14.0
456 + },
457 + "s=64,zipf=0.5": {
458 + "H": 5.781,
459 + "L_code": 6.236,
460 + "L_raw": 6.0,
461 + "bits_per_task": 14.467
462 + },
463 + "s=64,zipf=1.0": {
464 + "H": 4.864,
465 + "L_code": 5.443,
466 + "L_raw": 6.0,
467 + "bits_per_task": 12.883
468 + },
469 + "s=64,zipf=1.5": {
470 + "H": 3.435,
471 + "L_code": 4.005,
472 + "L_raw": 6.0,
473 + "bits_per_task": 10.013
474 + },
475 + "s=64,zipf=2.5": {
476 + "H": 1.448,
477 + "L_code": 1.957,
478 + "L_raw": 6.0,
479 + "bits_per_task": 5.916
480 + },
481 + "s=256,zipf=0.0": {
482 + "H": 8.0,
483 + "L_code": 8.0,
484 + "L_raw": 8.0,
485 + "bits_per_task": 18.0
486 + },
487 + "s=256,zipf=1.5": {
488 + "H": 3.916,
489 + "L_code": 4.444,
490 + "L_raw": 8.0,
491 + "bits_per_task": 10.89
492 + }
493 + }
494 + },
495 + "theorem_checks": {
496 + "T1_code_shorter_than_raw_when_H_le_log2s_minus_1": true,
497 + "T1_cells_where_code_longer_than_raw": [
498 + {
499 + "s": 64,
500 + "zipf": 0.5,
501 + "H_p_bits": 5.781,
502 + "L_code_bits": 6.236,
503 + "L_raw_bits": 6.0
504 + }
505 + ],
506 + "T1_entropy_le_code_lt_entropy_plus_1": true,
507 + "T3_post_shock_extra_bits_per_recipient_norms_vs_KL": {
508 + "mean_extra_bits_per_recipient": 1.895726362235342,
509 + "mean_KL": 1.979594637192137,
510 + "within_KL_pm_1": true
511 + }
512 + }
513 +}
\ No newline at end of file
added src/wp35/simulations/analyze.py +138 −0
@@ -0,0 +1,138 @@
1 +"""SIMULATED — summaries, phase diagrams, scaling curves and ablations from results/simulated/runs_*.parquet.
2 +Usage: python -m wp35.simulations.analyze . Writes results/simulated/*.csv, simulation_summary.json and paper/figures/fig_sim_*.pdf
3 +"""
4 +from __future__ import annotations
5 +import json
6 +from pathlib import Path
7 +import numpy as np
8 +import pandas as pd
9 +import matplotlib
10 +matplotlib.use("Agg")
11 +import matplotlib.pyplot as plt
12 +
13 +ROOT = Path(__file__).resolve().parents[3]; SIM = ROOT / "results" / "simulated"; FIG = ROOT / "paper" / "figures"
14 +METRICS = ["success_rate", "msgs_per_task", "bits_per_task", "bits_per_success", "bits_per_success_incl_setup", "tasks_per_kbit", "latency_mean",
15 + "fail_latency_share", "fail_decode_share", "admin_overhead_share", "welfare_per_agent", "gini_benefit", "root_load_mean", "success_pre", "success_post", "bits_per_task_pre", "bits_per_task_post"]
16 +COL = {"none": "#8c8c8c", "norms": "#1f77b4", "records": "#2ca02c", "central": "#d62728", "federated": "#9467bd"}
17 +
18 +
19 +def ci(x):
20 + x = np.asarray(x, float); x = x[np.isfinite(x)]
21 + if len(x) < 2:
22 + return (np.nan, np.nan)
23 + m = x.mean(); h = 1.96 * x.std(ddof=1) / np.sqrt(len(x)); return (m - h, m + h)
24 +
25 +
26 +def main():
27 + m = pd.read_parquet(SIM / "runs_main.parquet"); a = pd.read_parquet(SIM / "runs_ablation.parquet")
28 + factors = ["N", "network", "bandwidth", "zipf", "shock_type", "regime", "admin_capacity_ratio"]
29 + # 1. cell means with CIs
30 + g = m.groupby(factors)[METRICS].agg(["mean", "std", "count"]); g.columns = ["_".join(c) for c in g.columns]; g = g.reset_index()
31 + g.to_csv(SIM / "cells_main.csv", index=False)
32 + # 2. regime comparison pooled over cells (H3): bits per success and success rate, by N
33 + by = m.groupby(["regime", "N", "admin_capacity_ratio"])[["success_rate", "bits_per_task", "bits_per_success", "bits_per_success_incl_setup", "msgs_per_task", "welfare_per_agent", "gini_benefit", "fail_latency_share", "fail_decode_share"]].mean().reset_index()
34 + by.to_csv(SIM / "regime_by_N.csv", index=False)
35 + # 3. paired comparison within cell: institution regime vs none (same N/network/bandwidth/zipf/shock/seed)
36 + key = ["N", "network", "bandwidth", "zipf", "shock_type", "seed"]
37 + none = m[m.regime == "none"].set_index(key)
38 + rows = []
39 + for reg in ["norms", "records", "central", "federated"]:
40 + for ratio in sorted(m[m.regime == reg].admin_capacity_ratio.unique()):
41 + sub = m[(m.regime == reg) & (m.admin_capacity_ratio == ratio)].set_index(key)
42 + j = sub.join(none, rsuffix="_none", how="inner")
43 + d_bits = j.bits_per_success - j.bits_per_success_none; d_bits_setup = j.bits_per_success_incl_setup - j.bits_per_success_incl_setup_none
44 + d_succ = j.success_rate - j.success_rate_none; d_welf = j.welfare_per_agent - j.welfare_per_agent_none
45 + rows.append({"regime": reg, "admin_capacity_ratio": ratio, "n_pairs": len(j),
46 + "share_lower_bits_per_success": float((d_bits < 0).mean()), "share_lower_bits_incl_setup": float((d_bits_setup < 0).mean()),
47 + "share_higher_success": float((d_succ > 0).mean()), "share_higher_welfare": float((d_welf > 0).mean()),
48 + "mean_d_bits_per_success": float(d_bits.mean()), "mean_d_success": float(d_succ.mean()), "mean_d_welfare": float(d_welf.mean()),
49 + "ci_d_bits": ci(d_bits), "ci_d_success": ci(d_succ), "ci_d_welfare": ci(d_welf)})
50 + paired = pd.DataFrame(rows); paired.to_csv(SIM / "paired_vs_none.csv", index=False)
51 + # 4. cells where institutions LOSE (welfare or bits-per-success worse than none) — fragility search
52 + lose = []
53 + for reg in ["norms", "records", "central", "federated"]:
54 + sub = m[m.regime == reg]
55 + cm = sub.groupby(["N", "network", "bandwidth", "zipf", "shock_type", "admin_capacity_ratio"])[["welfare_per_agent", "bits_per_success_incl_setup", "success_rate"]].mean()
56 + nm = none.groupby(["N", "network", "bandwidth", "zipf", "shock_type"])[["welfare_per_agent", "bits_per_success_incl_setup", "success_rate"]].mean()
57 + cm = cm.reset_index().merge(nm.reset_index(), on=["N", "network", "bandwidth", "zipf", "shock_type"], suffixes=("", "_none"))
58 + cm["regime"] = reg; cm["welfare_loss"] = cm.welfare_per_agent < cm.welfare_per_agent_none; cm["bits_loss"] = cm.bits_per_success_incl_setup > cm.bits_per_success_incl_setup_none; cm["success_loss"] = cm.success_rate < cm.success_rate_none
59 + lose.append(cm)
60 + lose = pd.concat(lose); lose.to_csv(SIM / "cells_institution_vs_none.csv", index=False)
61 + lose_summary = lose.groupby(["regime", "admin_capacity_ratio"])[["welfare_loss", "bits_loss", "success_loss"]].mean().reset_index(); lose_summary["n_cells"] = lose.groupby(["regime", "admin_capacity_ratio"]).size().values
62 + lose_summary.to_csv(SIM / "institution_loss_shares.csv", index=False)
63 + # 5. shock effects: Δ success and Δ bits (post − pre) by regime and shock type
64 + # difference-in-differences: (post - pre) in the shocked run minus (post - pre) in the unshocked run of the same cell/seed
65 + m["d_success_raw"] = m.success_post - m.success_pre; m["d_bits_raw"] = m.bits_per_task_post - m.bits_per_task_pre
66 + ctrl = m[m.shock_type == "none"].set_index(["N", "network", "bandwidth", "zipf", "regime", "admin_capacity_ratio", "seed"])[["d_success_raw", "d_bits_raw"]]
67 + sh = m[m.shock_type != "none"].join(ctrl, on=["N", "network", "bandwidth", "zipf", "regime", "admin_capacity_ratio", "seed"], rsuffix="_ctrl")
68 + sh["d_success"] = sh.d_success_raw - sh.d_success_raw_ctrl; sh["d_bits"] = sh.d_bits_raw - sh.d_bits_raw_ctrl
69 + shock = sh.groupby(["shock_type", "regime", "admin_capacity_ratio"])[["d_success", "d_bits", "kl_q_p_bits"]].agg(["mean", "std", "count"]); shock.columns = ["_".join(c) for c in shock.columns]; shock = shock.reset_index(); shock.to_csv(SIM / "shock_effects.csv", index=False)
70 + # 6. ablations
71 + abl = {}
72 + ref = a[(a.shock_type == "none") & (a["T"] == 40) & (a.learn_bits == 200.0) & (a.eps == 0.25) & (a.s == 64) & (a.zipf == 1.0) & (a.verify_records) & (a.branching == 8) & (a.admin_capacity_ratio == 2.0)]
73 + abl["reference"] = ref.groupby("regime")[["success_rate", "bits_per_success_incl_setup", "welfare_per_agent"]].mean().round(4).to_dict("index")
74 + nv = a[(a.regime == "records") & (~a.verify_records)]; abl["records_without_verification"] = nv[["success_rate", "bits_per_success_incl_setup", "welfare_per_agent"]].mean().round(4).to_dict()
75 + ad = a[(a.regime == "norms") & (a.shock_type == "distribution")].copy(); ad["d_bits"] = ad.bits_per_task_post - ad.bits_per_task_pre
76 + abl["norms_adaptation"] = ad.groupby("adapt_delay")[["d_bits", "success_post", "kl_q_p_bits"]].mean().round(4).to_dict("index")
77 + be = a[(a.regime.isin(["none", "norms"])) & (a.shock_type == "none") & (a.eps == 0.25) & (a.verify_records)]
78 + be = be.groupby(["s", "zipf", "T", "learn_bits", "regime"])[["bits_per_success_incl_setup", "welfare_per_agent"]].mean().unstack("regime")
79 + be.columns = ["_".join(c) for c in be.columns]; be["norms_wins_bits"] = be.bits_per_success_incl_setup_norms < be.bits_per_success_incl_setup_none; be = be.reset_index(); be.to_csv(SIM / "ablation_breakeven.csv", index=False)
80 + abl["breakeven_norms_wins_bits"] = {f"s={int(r.s)},zipf={r.zipf},T={int(r['T'])},learn={r.learn_bits}": bool(r.norms_wins_bits) for _, r in be.iterrows()}
81 + he = a[(a.regime.isin(["none", "norms"])) & (a.shock_type == "none") & (a["T"] == 40) & (a.learn_bits == 200.0) & (a.s == 64) & (a.zipf == 1.0)]
82 + hh = he.groupby(["eps", "regime"])[["success_rate", "fail_decode_share"]].mean().round(4).reset_index()
83 + abl["heterogeneity_eps"] = {f"eps={r.eps},{r.regime}": {"success_rate": r.success_rate, "fail_decode_share": r.fail_decode_share} for _, r in hh.iterrows()}
84 + pc = a[(a.regime.isin(["central", "federated"])) & (a.branching == 8) & (a.shock_type == "none")]
85 + phase = pc.groupby(["regime", "admin_capacity_ratio"])[["success_rate", "fail_latency_share", "latency_mean", "root_load_mean", "bits_per_success_incl_setup"]].mean().reset_index(); phase.to_csv(SIM / "ablation_admin_capacity.csv", index=False)
86 + br = a[(a.regime == "federated") & (a.admin_capacity_ratio == 1.0)]; abl["federated_branching"] = br.groupby("branching")[["success_rate", "msgs_per_task", "root_load_mean"]].mean().round(4).to_dict("index")
87 + ce = a[(a.regime.isin(["none", "norms"])) & (a.shock_type == "none") & (a["T"] == 40) & (a.learn_bits == 200.0) & (a.eps == 0.25)]
88 + cg = ce.groupby(["s", "zipf", "regime"])[["H_p_bits", "L_code_bits", "L_raw_bits", "bits_per_task"]].mean().reset_index(); cg.to_csv(SIM / "ablation_coding_gain.csv", index=False)
89 + abl["coding_gain"] = {f"s={int(r.s)},zipf={r.zipf}": {"H": round(r.H_p_bits, 3), "L_code": round(r.L_code_bits, 3), "L_raw": r.L_raw_bits, "bits_per_task": round(r.bits_per_task, 3)} for _, r in cg[cg.regime == "norms"].iterrows()}
90 + summary = {"runs_main": int(len(m)), "runs_ablation": int(len(a)), "cells_main": int(len(g)), "seeds": int(m.seed.nunique()),
91 + "paired_vs_none": paired.drop(columns=["ci_d_bits", "ci_d_success", "ci_d_welfare"]).round(4).to_dict("records"),
92 + "institution_loss_shares": lose_summary.round(4).to_dict("records"), "shock_effects": shock.round(4).to_dict("records"), "ablations": abl,
93 + "theorem_checks": {"T1_code_shorter_than_raw_when_H_le_log2s_minus_1": bool((cg[(cg.regime == "norms") & (cg.H_p_bits <= cg.L_raw_bits - 1)].L_code_bits <= cg[(cg.regime == "norms") & (cg.H_p_bits <= cg.L_raw_bits - 1)].L_raw_bits).all()),
94 + "T1_cells_where_code_longer_than_raw": cg[(cg.regime == "norms") & (cg.L_code_bits > cg.L_raw_bits)][["s", "zipf", "H_p_bits", "L_code_bits", "L_raw_bits"]].round(3).to_dict("records"),
95 + "T1_entropy_le_code_lt_entropy_plus_1": bool(((cg.H_p_bits <= cg.L_code_bits + 1e-9) & (cg.L_code_bits < cg.H_p_bits + 1)).all()),
96 + "T3_post_shock_extra_bits_per_recipient_norms_vs_KL": {"mean_extra_bits_per_recipient": float(ad[ad.adapt_delay == 1000].d_bits.mean() / 2), "mean_KL": float(ad.kl_q_p_bits.mean()), "within_KL_pm_1": bool(abs(ad[ad.adapt_delay == 1000].d_bits.mean() / 2 - ad.kl_q_p_bits.mean()) < 1)}}}
97 + (SIM / "simulation_summary.json").write_text(json.dumps(summary, indent=2, default=float))
98 + # ---- figures ----
99 + FIG.mkdir(parents=True, exist_ok=True)
100 + fig, axes = plt.subplots(1, 3, figsize=(12.5, 3.8))
101 + for reg in ["none", "norms", "records", "central", "federated"]:
102 + sub = m[(m.regime == reg) & (m.shock_type == "none") & ((m.admin_capacity_ratio == 2.0))]
103 + s = sub.groupby("N")[["bits_per_success_incl_setup", "success_rate", "msgs_per_task"]].agg(["mean", "std", "count"])
104 + for ax, met in zip(axes, ["bits_per_success_incl_setup", "success_rate", "msgs_per_task"]):
105 + mu, sd, n = s[(met, "mean")], s[(met, "std")], s[(met, "count")]
106 + ax.errorbar(mu.index, mu, yerr=1.96 * sd / np.sqrt(n), marker="o", ms=3, label=reg, color=COL[reg], lw=1.2, capsize=2)
107 + axes[0].set_ylabel("bits per successful task (incl. set-up)"); axes[0].set_yscale("log"); axes[1].set_ylabel("task success rate"); axes[2].set_ylabel("messages per task")
108 + for ax in axes:
109 + ax.set_xscale("log"); ax.set_xlabel("N agents"); ax.set_xticks([50, 200, 800]); ax.set_xticklabels([50, 200, 800])
110 + axes[0].legend(fontsize=7, title="regime (admin cap. ratio 2)", title_fontsize=7); fig.suptitle("SIMULATED — scaling by regime, no shock (mean ± 95% CI over cells and seeds)", fontsize=9)
111 + fig.tight_layout(); fig.savefig(FIG / "fig_sim_scaling.pdf"); plt.close(fig)
112 + # phase diagram: success vs admin capacity ratio
113 + fig, ax = plt.subplots(figsize=(5, 3.6))
114 + for reg in ["central", "federated"]:
115 + s = phase[phase.regime == reg]; ax.plot(s.admin_capacity_ratio, s.success_rate, marker="o", label=reg, color=COL[reg])
116 + ax.axvline(1.0, ls="--", color="k", lw=0.8); ax.set_xscale("log"); ax.set_xlabel("administrative capacity / expected relayed load (ρ⁻¹)"); ax.set_ylabel("success rate"); ax.legend(fontsize=8)
117 + ax.set_title("SIMULATED — hierarchy saturation (N = 200, lattice)", fontsize=9); fig.tight_layout(); fig.savefig(FIG / "fig_sim_phase.pdf"); plt.close(fig)
118 + # shock effects figure
119 + fig, axes = plt.subplots(1, 2, figsize=(9, 3.6))
120 + for i, st in enumerate(["distribution", "network"]):
121 + s = shock[(shock.shock_type == st) & (shock.admin_capacity_ratio == 2.0)]
122 + axes[i].bar(s.regime, s.d_success_mean, yerr=1.96 * s.d_success_std / np.sqrt(s.d_success_count), color=[COL[r] for r in s.regime], capsize=3)
123 + axes[i].axhline(0, color="k", lw=0.6); axes[i].set_title(f"{st} shock: Δ success (post − pre)", fontsize=9); axes[i].tick_params(axis="x", labelsize=8)
124 + fig.suptitle("SIMULATED — shock responses by regime", fontsize=9); fig.tight_layout(); fig.savefig(FIG / "fig_sim_shocks.pdf"); plt.close(fig)
125 + # break-even figure
126 + fig, ax = plt.subplots(figsize=(5, 3.6))
127 + for (s_, z, lb), s in be.groupby(["s", "zipf", "learn_bits"]):
128 + ax.plot(s["T"], s.bits_per_success_incl_setup_norms / s.bits_per_success_incl_setup_none, marker="o", ms=3, label=f"s={int(s_)}, zipf={z}, learn={int(lb)}")
129 + ax.axhline(1, ls="--", color="k", lw=0.8); ax.set_xscale("log"); ax.set_xlabel("horizon T (periods)"); ax.set_ylabel("bits per success, norms / none"); ax.legend(fontsize=7)
130 + ax.set_title("SIMULATED — break-even of a shared code (Theorem 2)", fontsize=9); fig.tight_layout(); fig.savefig(FIG / "fig_sim_breakeven.pdf"); plt.close(fig)
131 + print(json.dumps({k: v for k, v in summary.items() if k in ("runs_main", "runs_ablation", "cells_main", "institution_loss_shares", "theorem_checks")}, indent=1, default=float))
132 + print(paired.drop(columns=["ci_d_bits", "ci_d_success", "ci_d_welfare"]).round(3).to_string(index=False))
133 + print(shock[["shock_type", "regime", "admin_capacity_ratio", "d_success_mean", "d_bits_mean", "kl_q_p_bits_mean"]].round(3).to_string(index=False))
134 + print(json.dumps(abl, indent=1, default=float)[:3000])
135 +
136 +
137 +if __name__ == "__main__":
138 + main()
modified src/wp35/simulations/model.py +14 −7
@@ -50,7 +50,8 @@ class Params:
50 50 shock_period: int = -1 # period at which a shock occurs (-1: none)
51 51 shock_type: str = "none" # none | distribution | network
52 52 shock_kl_target: float = 1.0 # for distribution shocks: how far q is from p (approx bits)
53 − shock_link_removal: float = 0.3
53 + shock_link_removal: float = 0.5
54 + split_period: int = 20 # pre/post accounting window boundary used in ALL runs (shocked or not), for difference-in-differences
54 55 adapt_delay: int = 10 # periods before a code is re-optimized after a distribution shock
55 56 cost_per_bit: float = 0.002
56 57 value_per_task: float = 1.0
@@ -67,8 +68,14 @@ def entropy_bits(p: np.ndarray) -> float:
67 68 p = p[p > 0]; return float(-(p * np.log2(p)).sum())
68 69
69 70
71 +def shannon_lengths(p: np.ndarray) -> np.ndarray:
72 + """Shannon code lengths ceil(-log2 p(x)) — a prefix code with these lengths exists by Kraft's inequality; this is the
73 + code used in Theorem 3 of research/framework.md (so that the measured stale-code penalty is comparable to D_KL)."""
74 + return np.ceil(-np.log2(np.maximum(p, 1e-300)))
75 +
76 +
70 77 def huffman_lengths(p: np.ndarray) -> np.ndarray:
71 − """Optimal prefix-code lengths for distribution p (Huffman)."""
78 + """Optimal prefix-code lengths for distribution p (Huffman); kept for reference, not used by default."""
72 79 import heapq
73 80 n = len(p); heap = [(float(p[i]), i, [i]) for i in range(n)]; heapq.heapify(heap); L = np.zeros(n)
74 81 cnt = n
@@ -122,9 +129,9 @@ def lca_depth(paths: np.ndarray, i: np.ndarray, j: np.ndarray) -> np.ndarray:
122 129 def simulate(P: Params) -> dict:
123 130 rng = np.random.default_rng(P.seed)
124 131 pos, A = build_network(P, rng)
125 − dialect = rng.random(P.N) # heterogeneous information: cultural distance
132 + dialect = 0.5 * pos[:, 0] + 0.5 * rng.random(P.N) # heterogeneous information: cultural distance, partly spatial (geography)
126 133 p = zipf_dist(P.s, P.zipf); H = entropy_bits(p)
127 − code_len = huffman_lengths(p); L_code = float((p * code_len).sum()); L_raw = math.ceil(math.log2(P.s))
134 + code_len = shannon_lengths(p); L_code = float((p * code_len).sum()); L_raw = math.ceil(math.log2(P.s))
128 135 q = p.copy()
129 136 if P.shock_type == "distribution" and P.shock_period >= 0:
130 137 # q = p permuted so that D_KL(q||p) is close to the target (search over cyclic shifts)
@@ -156,12 +163,12 @@ def simulate(P: Params) -> dict:
156 163 cur_code_len = code_len.copy(); shock_time = None
157 164 for t in range(P.T):
158 165 if P.shock_period == t and P.shock_type == "network":
159 − drop = rng.random(A.shape) < P.shock_link_removal; A &= ~drop; A &= A.T
166 + drop = np.triu(rng.random(A.shape) < P.shock_link_removal, 1); drop = drop | drop.T; A &= ~drop # symmetric removal of a share of links
160 167 if P.shock_period == t and P.shock_type == "distribution":
161 168 shock_time = t
162 169 dist_now = q if (shock_time is not None and t >= shock_time) else p
163 170 if use_code and shock_time is not None and t >= shock_time + P.adapt_delay:
164 − cur_code_len = huffman_lengths(q) # institution re-learns the code after adapt_delay
171 + cur_code_len = shannon_lengths(q) # institution re-learns the code after adapt_delay
165 172 # drain queues by one period of service
166 173 agent_backlog = np.maximum(0, agent_backlog - P.bandwidth)
167 174 for a_ in admin_backlog:
@@ -230,7 +237,7 @@ def simulate(P: Params) -> dict:
230 237 stats["tasks"] += M; stats["success"] += int(success.sum()); stats["fail_decode"] += int(task_fail_decode.sum()); stats["fail_latency"] += int((task_fail_latency & ~task_fail_decode).sum())
231 238 stats["messages"] += int(np.sum(n_msgs) if np.ndim(n_msgs) else M * n_msgs); stats["bits"] += float(bits.sum()); stats["admin_bits"] += float(M * P.admin_bits if use_records else 0.0)
232 239 stats["latency_sum"] += float(wait[success].sum()); stats["root_load"] += root_load_t
233 − if shock_time is None or t < shock_time:
240 + if t < P.split_period:
234 241 stats["tasks_pre"] += M; stats["success_pre"] += int(success.sum()); stats["bits_pre"] += float(bits.sum())
235 242 else:
236 243 stats["tasks_post"] += M; stats["success_post"] += int(success.sum()); stats["bits_post"] += float(bits.sum())
modified src/wp35/simulations/run_experiments.py +5 −0
@@ -45,6 +45,11 @@ def ablation_design(quick=False):
45 45 for lb in [0.0, 200.0, 1000.0]:
46 46 for reg in ["none", "norms"]:
47 47 cells.append(Params(**{**base, "T": T}, regime=reg, seed=seed, learn_bits=lb, admin_capacity_ratio=2.0))
48 + # break-even with a large, concentrated plan space (high coding gain)
49 + for T in [10, 40, 160]:
50 + for lb in [200.0, 1000.0]:
51 + for reg in ["none", "norms"]:
52 + cells.append(Params(**{**base, "T": T, "zipf": 1.5}, regime=reg, seed=seed, s=256, learn_bits=lb, admin_capacity_ratio=2.0))
48 53 # heterogeneity of information (eps) for none vs norms
49 54 for eps in [0.05, 0.25, 0.6]:
50 55 for reg in ["none", "norms"]:
51 56
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