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[1000478, 3, -0.797325], [1000479, 4, 0.0], [1000480, 2, 0.0], [1000481, 4, 0.0], [1000482, 3, -0.132703], [1000483, 3, -0.077283], [1000484, 4, 0.0], [1000485, 1, 0.0], [1000486, 1, 0.0], [1000487, 2, 0.0], [1000488, 2, 0.0], [1000489, 4, 0.0], [1000490, 4, 0.0], [1000491, 3, 5.852173], [1000492, 1, 0.0], [1000493, 2, 0.0], [1000494, 1, 0.0], [1000495, 1, 0.0], [1000496, 1, 0.0], [1000497, 3, -0.734348], [1000498, 2, 0.0], [1000499, 3, 0.101782]], "seconds_per_simulation": {"t": 1.370700114379637, "candidate": 1.341975472082384}, "notes": ["Simulator commit b244530ee2a6247b5f930830eeca9dd950da0e7e downloaded from its GitHub commit archive; simulator source unmodified.", "Python 3.10.12. Serial in-process; no sandbox or workers. Each seed samples one config; T then CANDIDATE each uses a freshly loaded strategy factory and instance.", "d = CANDIDATE.total_edge - T.total_edge. Aggregates, standard errors, worst and best use unrounded differences; per_seed differences rounded to six decimals.", "Standard error is sample standard deviation / sqrt(n); null for n < 2. Timing includes factory loading and engine execution.", "No strategy tuning or dependency installation. Sources document strategy provenance and simulator API; numerical results are local measurements."]}