efcc8fcb65ed210759b099d14d0088df054d0064
Three defects, two of them mine. 1. The anchor was a guess. LargestComponentAnchor() returned a hardcoded point near the (0,0) spine and the comment admitted it, so NOT_CONNECTED meant "not connected to a guessed point". The flood fill already knows the answer; it now returns LargestComponentPoint (tie- broken by lowest cell index, so it stays deterministic), LargestComponentCells and NumComponentsAtLeast1Pct. 2. "Connected to the largest component" is NOT the primordial law. The law is that a player must not descend into a place they cannot leave -- a question about MOUTHS. A strate can be 57 disconnected shafts and be fine, provided the shaft you arrive in is the shaft you leave from. The test now asks arrival -> departure per strate: the LowerPoint of the passage arriving, to the UpperPoint of the passage departing. 3. A false verdict and a true one were indistinguishable. VF_AreConnected returned false both when no route existed and when the endpoint's own coarse cell sampled solid -- and a passage mouth is a carved tube whose cell centre lands in adjacent rock easily. It now returns EVoxelConnectivityResult and snaps to an adjacent air cell first, reporting the repair. RESULT: the earlier "5 of 15 endpoints disconnected" was an ARTIFACT of the guessed anchor plus the wrong question. Corrected: 13 of 15 connected, 0 StartCellSolid, 0 GoalCellSolid. One real finding survives. arrival -> departure passes for 5 of 6 applicable strates; VerticalShafts FAILS -- its arrival mouth is in the largest component, its departure mouth is not. NOT yet reported as a bug: a coarse grid can falsely SEPARATE as well as falsely join, and a connecting corridor thinner than SampleStep vanishes. Next task settles it at a finer step. Also noted: GetPassages() contains a self-referential surface entry (0 -> 0), excluded from the chain law. Build clean, 18 succeeded / 0 warnings / 0 failed, verified in VoxelM.log. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Bp7FxoQcSoiuhxjuLr6aBM
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