jpmschweitzerandClaude Fable 5
933e1f4ee4
derive_district_profile is now a thin wrapper over the shared derive_at_metres_with_riparian core at survey-cell-centre world metres — one derive core, two position sets. The batch pseudo-grid and the true D-243 district grid were two coordinate systems sharing one bare (i32,i32) type; the new SurveyCellPos newtype re-keys every batch product (BodyWorldState.districts, Layer1Output.survey_basin_dirs) so the compiler rejects cross-namespace passing. Fixes two latent same-position divergences the T-1174 investigation surfaced: three inconsistent latitude conventions collapse into the core's single inverse mapping, and the region-climate baseline now floor-divides true world metres instead of collapsing the whole body onto region (0,0)'s baseline — batch climate becomes latitude/region graded (D-245 direction: every changed believability metric increased). Binding preservations per D-256(c): basin_direction rides a post-call override with the true L1 D8 survey-cell aggregate (layer1's map re-keyed to SurveyCellPos, identity lookup — a floor-divide lookup against the pseudo-keyed map would have silently defaulted every cell North); the riparian verdict comes from near_perennial_water_at, never the empty-slice default (which would have flipped riverside vegetation_class). Quarter-skeleton morphology_zone now resolves at the settlement's exact world position via derive_at_metres at work-item execution (where TerrainAnalysisCache lives), replacing the survey-cell-centre map lookup (D-256(d)); settlement_district_pos fixed to true-district floor-division in passing (same doc/impl mismatch class). Second pixel-vs-metre conflation fixed in aliveness_probe's anchor-walk math. Window path byte-unchanged (window_derivation_golden 6/6 byte- identical); derivation_harness golden untouched; believability golden regenerated. Full lib + integration suites green. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
85 lines
1.7 KiB
JSON
85 lines
1.7 KiB
JSON
[
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{
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"body_id": "GJ338Bd",
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"world_seed": 13200299156134074780,
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"district_count": 2048,
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"voxel_sampled_districts": 64,
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"contrast": {
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"moisture_q": {
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"min": 17,
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"max": 97,
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"distinct": 74
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},
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"elev_q": {
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},
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"slope_q": {
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"ocean_fraction_q": {
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"min": 0,
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"max": 100,
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"distinct": 44
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},
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"morphology_zones": 9,
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"vegetation_classes": 4,
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"terrain_materials": 4,
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"voxel_relief_m": 27,
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"micro_habitat_distinct": 2
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},
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"coherence": {
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"water_districts": 46,
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"water_districts_wet": 46,
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"drainage_samples": 0,
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"drainage_monotonic": 0,
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"vegetation_samples": 64,
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"vegetated_districts": 8
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}
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},
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{
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"body_id": "GJ244Ad",
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"world_seed": 13200299156134074780,
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"district_count": 2048,
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"voxel_sampled_districts": 64,
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"contrast": {
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"moisture_q": {
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"min": 0,
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"max": 24,
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"distinct": 25
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},
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"elev_q": {
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},
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"slope_q": {
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"max": 15,
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"distinct": 15
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},
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"ocean_fraction_q": {
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"min": 0,
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"max": 100,
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"distinct": 36
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},
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"morphology_zones": 6,
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"vegetation_classes": 2,
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"terrain_materials": 2,
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"voxel_relief_m": 22,
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"micro_habitat_distinct": 0
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},
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"coherence": {
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"water_districts": 19,
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"water_districts_wet": 19,
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"drainage_samples": 0,
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"drainage_monotonic": 0,
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"vegetation_samples": 64,
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"vegetated_districts": 0
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}
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}
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]
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