jpmschweitzerandClaude Opus 4.8
91a079718b
Promote the throwaway aliveness probe into a committed, repeatable believability protocol — the instrument that found T-1080/T-1081/T-1082. - atlas/believability.rs (new): BelievabilityReport (serde) + analyze() computing CONTRAST (per-field min/max/distinct for moisture/elev/slope/ocean over all districts; distinct morphology zones / vegetation classes / terrain materials) and COHERENCE (water-renders-wet, drainage-monotonic, vegetation-present) — never marginal per-tile counts (the lesson: that called a broken uniform world ALIVE). evaluate_criteria() = advisory D-245 checks; cascade_for_body()/seed_to_u64() loader shared by the bin and the harness. Unit tests prove the metric tells a uniform world (fails) from a varied one (passes) + determinism. - bin/aliveness_probe.rs: refactored to a thin CLI over the module — prints the body-level report + advisory D-245 criteria, drops the naive per-tile verdict. - tests/believability_harness.rs (+ golden): runs the real cascade for Arbour (temperate/ocean) + Edict (frozen/ice), asserts determinism, golden-snapshots the reports (regression — updates when T-1080/T-1082 land), advisory criteria with BELIEVABILITY_STRICT=1 to fail on unmet D-245 criteria. Skips if committed data absent. x86_64 golden (cascade has f32 warp paths). Baseline @ believability-v1: Arbour 3/7, Edict 3/7 criteria pass — moisture gradient, water-renders-wet, drainage all FAIL (T-1080/T-1082); Edict vegetation 0/64 (blank tundra — the frozen 'reads dead' case D-245 targets). PNG layer maps (ticket item 3) deferred — explicitly optional; the contrast + coherence metrics are the core enforcer. clippy --all-targets -D warnings clean; 1575 lib tests + the harness pass. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
81 lines
1.6 KiB
JSON
81 lines
1.6 KiB
JSON
[
|
|
{
|
|
"body_id": "GJ338Bd",
|
|
"world_seed": 13200299156134074780,
|
|
"district_count": 2048,
|
|
"voxel_sampled_districts": 64,
|
|
"contrast": {
|
|
"moisture_q": {
|
|
"min": 80,
|
|
"max": 80,
|
|
"distinct": 1
|
|
},
|
|
"elev_q": {
|
|
"min": 0,
|
|
"max": 98,
|
|
"distinct": 99
|
|
},
|
|
"slope_q": {
|
|
"min": 0,
|
|
"max": 13,
|
|
"distinct": 14
|
|
},
|
|
"ocean_fraction_q": {
|
|
"min": 0,
|
|
"max": 100,
|
|
"distinct": 65
|
|
},
|
|
"morphology_zones": 9,
|
|
"vegetation_classes": 3,
|
|
"terrain_materials": 1
|
|
},
|
|
"coherence": {
|
|
"water_districts": 64,
|
|
"water_districts_wet": 4,
|
|
"drainage_samples": 16,
|
|
"drainage_monotonic": 4,
|
|
"vegetation_samples": 64,
|
|
"vegetated_districts": 64
|
|
}
|
|
},
|
|
{
|
|
"body_id": "GJ244Ad",
|
|
"world_seed": 13200299156134074780,
|
|
"district_count": 2048,
|
|
"voxel_sampled_districts": 64,
|
|
"contrast": {
|
|
"moisture_q": {
|
|
"min": 20,
|
|
"max": 20,
|
|
"distinct": 1
|
|
},
|
|
"elev_q": {
|
|
"min": 0,
|
|
"max": 99,
|
|
"distinct": 100
|
|
},
|
|
"slope_q": {
|
|
"min": 0,
|
|
"max": 6,
|
|
"distinct": 7
|
|
},
|
|
"ocean_fraction_q": {
|
|
"min": 0,
|
|
"max": 100,
|
|
"distinct": 65
|
|
},
|
|
"morphology_zones": 9,
|
|
"vegetation_classes": 1,
|
|
"terrain_materials": 2
|
|
},
|
|
"coherence": {
|
|
"water_districts": 20,
|
|
"water_districts_wet": 1,
|
|
"drainage_samples": 4,
|
|
"drainage_monotonic": 1,
|
|
"vegetation_samples": 64,
|
|
"vegetated_districts": 0
|
|
}
|
|
}
|
|
]
|