feat(berlinmod): route the streaming-form spatial predicates through MEOS (stacks on #19)#20
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…MEOS Every BerlinMOD-9 × 3-form spatial predicate evaluates through MEOS via the thin MEOSBridge wiring rather than in-binding spatial mathematics: the within-distance predicate builds the vehicle position as a tgeogpoint instant and calls edwithin_tgeo_geo against the query geography in metres on the WGS84 spheroid (the operator MobilityNebula/Queries/Query1.yaml names); region containment calls eintersects_tgeo_geo between the point's tgeompoint instant and the region polygon; pairwise and cumulative distances call geog_distance. MEOSBridge holds no spatial mathematics of its own — it constructs the MEOS temporal instants and geographies and delegates the computation to libmeos, initialising MEOS on the calling task thread. The pure-Java Haversine and SegmentDistance classes are removed.
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Superseded by the Path-B consolidation: the former 18-deep stack is collapsed into two reviewable topical PRs on top of the merged scaffold — MEOS integration #30 → benchmark #31 — each one clean squashed commit with the generated-facade bulk, dead family-flag profiles, committed target/ artifacts, and invented synthetic corpus removed. Closing as folded into #30/#31. |
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Every BerlinMOD spatial predicate evaluates through MEOS via the thin MEOSBridge: within-distance through edwithin_tgeo_geo (the vehicle position as a tgeogpoint instant, metres on the WGS84 spheroid), region containment through eintersects_tgeo_geo, and distances through geog_distance. The pure-Java Haversine and SegmentDistance classes are removed, and the README describes the MEOS-only wiring.