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Author SHA1 Message Date
Fr0zkaandClaude Opus 5.5 4a97023b24 wip: continuous backbone floor profile for the cave planner (L134 design 4, untested)
Written by Luna before the Codex usage limit cut the round: one shared distance/floor profile across backbone rooms
and edges, edge cubic floors derived from it, sloped route-room floors, lower-floor backing cap at overlaps, and
validator checks for joint height/slope continuity. Not yet built or audited.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-31 12:03:48 +01:00
Fr0zkaandClaude Opus 5.5 379093401e wip: cave planner route support fixed (L134 design 3); clearance at edge joints open
Arrival edge floor aligned to the passage mouth, 0.75 m backbone floor-support budget, anchors on the planned floor:
0 unsupported, 0 grade failures. Open: 196/50,967 capsule samples blocked where a higher descending edge's floor
backing meets the next edge (route-edge-6/7).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-31 11:58:33 +01:00
Fr0zkaandClaude Opus 5.5 75c6ad251d wip: Tunnel Network cave planner on Core caves (L134, route support still failing)
Seed + 21/47 legacy fields -> 30 compound rooms (72 primitives), 3 branches, destination chamber; mouths fixed;
8.67 deg max grade. Passage composer no longer skips native cave layers (incoming passage 21,425/21,425 open).
Open: route-support audit has 380 unsupported samples near the arrival mouth. Not for merge.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-31 11:42:04 +01:00
Fr0zkaandClaude Opus 5.5 0065ee68e6 tools: per-strate density dispatch report in the fast tier (L132)
--density-dispatch-report prints each strate's bound path and tile shares. Owner world: SW native heightfield;
FI, TN, VS on compiled-analytic legacy fallback (FI lacks an imported FloatingIslandPlan; TN/VS have legacy recipes).
A native FI candidate broke the composed owner walk/shell gates, so the owner stays on its path. Output unchanged.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-31 02:40:58 +01:00
Fr0zkaandClaude Opus 5.5 ebae71b142 research: R46 generator capability matrix (read-only)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-31 02:11:29 +01:00
Fr0zkaandClaude Opus 5.5 81071969fc docs+cleanup: CURRENT-STATE.md and dead L86/L88 ablation switches removed (L131)
One current-state page (shipping behaviour, references with sources, gaps, verification, closed lines), linked from
CLAUDE.md. Removes the L86/L88 passage/boundary ablation switches and the unused legacy route-grade audit; inventory
of every kept switch in the report. Output identical: 24/24 + 18/18 hashes, fast tier, walk/seam audits, UE host
build; timing unchanged (-0.2%, CI spans 0). No Source/ changes.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-31 02:11:10 +01:00
Fr0zkaandClaude Opus 5.5 cbbfd46bd3 research: Astra low open project review — what to focus on now (read-only)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-31 01:19:41 +01:00
Fr0zkaandClaude Opus 5.5 044cd6d9c5 core: one passage influence reach in metres, converted once (L130, evaluator v227)
Reach = 0.75 shell + 0.21 relief + 0.50/6 smooth-max support + 0.01 = 1.0533 m, used by proof, feature, fallback,
off-grid bounds and the sweep cutoff. Removes the dead 4 m term (v225 added metres to core-voxel coordinates).
Captures and mouth close-ups byte-identical; proof audit 0 misses over 25,728 shell/crest samples; floor 7.884 mm;
seams, walkability, fast tier, Clang/GCC W1/W8/W12 green; timing equal within noise.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-31 00:43:44 +01:00
Fr0zkaandClaude Opus 5.5 b96dd739b8 research: Astra low review of per-block bit-flag masks (read-only)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 21:30:51 +01:00
Fr0zkaandClaude Opus 5.5 4041d4bb4b research: smooth-tunnel merge verification (L127)
Builds, fast tier, walk 21425/21425, seams bit-identical, floor 7.884 mm, 18/18 hashes = v225, captures 23/23.
Headless near-ready vs pre-merge: SW +11..14%, other six cells faster. UE start->LOD0-2 2.23-2.73 -> 2.22-2.51 s.
30 m/s UE: near coverage 43.4 -> 40.2%, far holes 3.14 -> 3.46%, p99 11.25 -> 10.80 ms, worst 13.97 -> 13.27 ms.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 16:10:56 +01:00
Fr0zkaandClaude Opus 5.5 aeb60bbda3 merge: smooth inter-strate tunnels (L109-L126 line, evaluator v225) into the main line
Owner-approved. Brings the swept-tube shell, half-pipe open air, continuous floor h(s), rounded crest and
L125 slab stamping onto assembler/world (L120-L124 streaming work). Pending L127 verification.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 15:16:09 +01:00
Fr0zkaandClaude Opus 5.5 01a50946cb research: passage preparation filters (L126, no-go, source restored)
Pair overlap comes from per-segment bounds expanded by radius + 4.335 m route reach; two exact filters cut
floor-profile calls 20-23% but near-ready stayed +3..+11% vs L109 (within ~2% of L125).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 15:14:42 +01:00
Fr0zkaandClaude Opus 5.5 4111b967bd core: stamp passage route slabs into the tile cache (L125, evaluator v225)
Conservative route slabs with an outside sentinel, tight expanded segment bounds; DensityGrid exact fallbacks
479k -> 0 per run. Near-ready 2-14% faster than L119, still +4.7..+10.2% vs L109; whole view within -0.5..+8%.
Same look (floor offset 7.884 mm, captures checked), seam audit bit-identical, fast tier + walk audits,
Clang/GCC W1/W8/W12 determinism green. BVH and 25 cm tolerance trials rejected. Not for merge yet.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 14:43:31 +01:00
Fr0zkaandClaude Opus 5.5 103fa75e1c research: Astra low review of stamping tunnels along the curve (read-only)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 13:25:28 +01:00
Fr0zkaandClaude Opus 5.5 c743f2abc7 research: early arrival tiles before shape publication (L124, measured not worth it)
Shape gate is real (no LOD0-2 tile before shape ready, ~180-226 ms) but the shape pool is already ~8/8 busy;
independent 27-tile pages net at most ~62 ms (VS negative). Near-ready today: SW 0.69-0.71 s, VS 0.84-0.99,
TN 1.24-1.37, FI 1.33-1.44 s. No runtime change.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 10:33:13 +01:00
Fr0zkaandClaude Opus 5.5 5e7e0eb1c1 research: region completion gate (L123, no production change)
The 18 ms gate is one game-thread tick, not compile cost (0.25 ms). MPSC handoff keeps ownership but still
polls per tick; velocity look-ahead didn't help (near -0.8 pt, p99 11.77 > 11.00). Both kept as a patch.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 09:55:45 +01:00
Fr0zkaandClaude Opus 5.5 bae1144ee4 research: idle workers at 30 m/s (L122, no production change)
98% of idle-with-holes windows wait on the expanded critical set; region compile runs 0.26 ms but its
gate stays pending 18 ms p50. Broad early admission: near +15.4 pt but p99 13.4 ms (over the VR 11 ms
frame); near-only: +9.9 pt but far holes +1.5 pt. Trace instrumentation kept as a patch.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 09:04:04 +01:00
Fr0zkaandClaude Opus 5.5 5c519f5206 streaming: one supplemental far apply per frame when the budget is half unused (L121)
After the normal visible-apply count is reached and <50% of the 2 ms budget is spent, apply one horizon
result (off during startup boost; voxel.StreamingFarApplySupplement=0 disables). 30 m/s UE, 5 pairs:
far holes 4.38% -> 2.70%, far finish-to-apply p50 1.105 -> 0.114 s, worst tick 14.74 ms (<15.43),
near coverage +0.3 pt, arrival whole-view -313 ms. Geometry unchanged (24/24 hashes), fast tier green.
Adds trace-only RMC proxy publication timing.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 08:03:18 +01:00
Fr0zkaandClaude Opus 5.5 161565936c research: arrival/far streaming study (L120, no production change)
Far holes coexist with idle workers: far tiles wait median 1.12 s / p95 3.21 s from worker completion
to apply while generating in p95 10 ms, so the game-thread result queue and admission are the limit.
Priority split failed; 10 slots helped but broke the worst-tick bar. LOD2 still waits for far parents.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 07:02:55 +01:00
Fr0zkaandClaude Opus 5.5 707bc61553 core: coarser smooth-route tolerance + shell support bound (L119, evaluator v224)
Chord error 2.5 -> 10 cm, shell work skipped outside the 0-0.75 m band. Sweep pairs -39%, prepare -60%,
near-ready 3-8% faster than L115 but still +13..+22% vs L109. Floor offset 7.88 mm; captures match L115
by eye; fast tier, walk audits, Clang/GCC W1/W8/W12 determinism green. Not for merge yet.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 05:35:59 +01:00
Fr0zkaandClaude Opus 5.5 6e52fb48b2 research: L118 passage-tile designs (hash-exact, no readiness gain; kept as patch)
Tagged the passage bucket: per-tile prepareSweptTubeBase dominates (0.47-0.92 s summed per view),
smooth-min second. Segment lower-bound pruning (-17% pairs) and deferred fallback floor work stayed
hash-exact but moved near-ready <3%. Still +17..+26% vs L109.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 04:39:40 +01:00
Fr0zkaandClaude Opus 5.5 c2b8d39573 research: smooth-tunnel regression census L109 vs L115 (L117, measurement only)
Near +18..+32% is ~95% in passage-feature tiles (12-17% of tiles): sweep pairs 2.3-2.6x, exact
fallbacks +71..+101%, segment visits 3-4x, plus an untagged cache/prepare/smooth-min bucket
(+0.47 s/view). Skips, triangle counts (-0.1..-1.4%), skirts, normals, far shells ruled out.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 03:40:37 +01:00
Fr0zkaandClaude Opus 5.5 89504ecc97 research: chord-bound + z-column fine-segment pruning (L116, exact, not merged)
Fine pairs 48.9M -> 38.8M (-21%) with L115-identical hashes, but no readiness change (still
+15..+30% near-ready vs L109). Pair evaluation is not where the regression lives. Kept as patch.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 03:04:07 +01:00
Fr0zkaandClaude Opus 5.5 f403af1fc1 passages: continuous floor h(s) along the dense route; shell-probe oracle fix (L115, v223)
Floor height from the planner profile h(s) by horizontal projection + arc-length interpolation;
adjacent fine segments share endpoint values. Floor zero-crossing offsets max 7.8 mm (L114: up
to 73 mm); rock-floor close-ups show no ribs. The 2 L114 shell misses were oracle false positives
(points inside an overlapping bore); the oracle now checks every overlapping span; no gate relaxed.
Fast tier PASS; Clang/GCC W1/W8/W12 deterministic. Speed regression grows: near-ready +17..+31% vs
L109 (fine-segment/sample pairs 49.0M vs 19.8M). Not merged.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-30 01:48:29 +01:00
Fr0zkaandClaude Opus 5.5 5e875ae504 passages: floor profile by nearest centreline + metric distance outside voids (L114, v222) - WIP
Floor ribs are present in L109/L112/L113 rock tunnels too: the floor height comes from the
nearest segment, so it jumps (up to 5.9-7.3 cm) where the nearest segment switches. v222 reduces
them; faint ribs remain. Quiet-machine timing (load 0.64): near-ready 9-17% slower than L109
(FI W12 0.95 -> 1.10 s); candidate totals ~5x L109. Fast tier FAIL: 2 SW wall-shell probes of
31,381 read host air. Walk/grade audits pass; Clang/GCC deterministic; UE builds.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-29 23:18:40 +01:00
Fr0zkaandClaude Opus 5.5 36d954cf2f passages: rounded half-pipe crest (L113, v220); floor bands diagnosed, speed not recovered
Open-air walls: 0.75 m rounded shell, relief fades over the top 0.25 m - the needle spikes are
gone. Every owner plan passes the 15 deg forward-grade check (max ~10.7 deg) and all walk audits.
Floor bands: median 1.25 m interval, ~0.21 m drop on a ~10.4 deg floor = one 0.25 m voxel row
projected along the grade (not control points, not slab thickness) - not yet fixed. Exact
segment-to-tile filter did not reduce candidates; removed. Timings this round are unreliable
(a gitea process used ~43% CPU throughout). Fast tier PASS; Clang/GCC deterministic; UE builds.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-29 21:57:13 +01:00
Fr0zkaandClaude Opus 5.5 16554cd426 passages: XY-smooth spline with planned height profile + open-air half-pipe (L112, v219)
Dense centripetal spline in XY, height piecewise-linear on the planner's certified profile,
radius/floor depth blended; open air = floor slab + 1 m side walls, no roof; audits sample the
generated centreline. All walk audits pass (grades <= 15 deg, headroom, shell, mouths, ripple);
Clang/GCC W1/W8/W12 deterministic; fast tier PASS; Linux UE builds. Chevron rings gone.
Open issues: jagged spikes along the half-pipe wall tops, visible step lines on the trough
floor; near-ready +7..+10% vs L109 (candidate list p95 4 -> 22). Not merged.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-29 20:39:20 +01:00
Fr0zkaandClaude Opus 5.5 5ec09d1ff1 passages: dense centripetal spline + open-air half-pipe attempt (L111, failed audits)
Route resampled to ~1 m (310 -> 2,790 segments); open air writes a 0.75 m floor slab plus 1.0 m
side walls, no roof. The 3D spline overshoots between planned route points, raising floor grades
above 15 deg; a grade-limited variant left 2 unsupported samples on passage 0-1, and the shell/
ripple audits still model the old chord route. Stopped after two designs. Not merged.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-29 18:09:46 +01:00
Fr0zkaandClaude Opus 5.5 5ea01988c4 passages: tunnels own their floor - flat-bottomed tube + solid shell (L109, v217) - pending visual review
Owner design: flat world-horizontal floor (0.50 m corner blend), 0.75 m solid shell written only
where the host field is air (interiors union first and beat every shell), 5 m cubic mouth ramps.
Removed route support restoration, deferred support, support columns, mouth-support restoration
and their capsule checks (-5,129 / +1,641 lines). Near-ready @W12: FI 1.39 -> 0.86, TN 1.29 ->
0.90, VS 0.85 -> 0.74, SW 0.70 -> 0.76 s (more shell/skirt surface). All walk audits pass;
Clang/GCC W1/W8/W12 deterministic; fast tier PASS; Linux UE builds; 6 UE arrival traces pass.
OPEN ISSUE: open-air shell (e.g. passage 0-1, 1037-1489 m route span) shows a regular stepped
banding pattern - not merged into assembler/world until fixed/approved.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016dhxM43dnWvUu2B5Ph1iG1
2026-10-29 05:54:48 +01:00
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+8 -7
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@@ -1522,11 +1522,12 @@ collision ring became walkable at 0.632 s. `voxel.StreamingCoarseFirst=1` with
residency by about one third on the staged plan, but null-RHI residency does not prove rendered
enclosure. Keep coarse-first opt-in until that view is checked in a rendered owner-plan run.
The separate `voxel.StreamingStartupApplyBoost` switch stays default-off. At `1`, it temporarily allows
12 visible mesh submissions / 14 ms while the initial desired set and walkable ring are incomplete,
with a 30 second ceiling; at `0`, the authored budget is unchanged. On the matched legacy-order test,
the boost changed full-set readiness from 17.412 s to 17.346 s and removed count-cap frames, but did
not improve end-to-end residency. Keep the normal 4 / 2 ms guard for play.
The separate `voxel.StreamingStartupApplyBoost` switch is default-on in the current code. At `1`, it
temporarily allows up to 24 visible mesh submissions / 14 ms while the initial desired set and
walkable ring are incomplete, with a 30 second ceiling; at `0`, the authored budget is unchanged.
The historical matched S6 run changed full-set readiness from 17.412 s to 17.346 s and removed
count-cap frames, but did not improve end-to-end residency. These current defaults are defined in
`Source/VoxelForge/Private/VoxelWorld.cpp`; the S6 measurement remains historical context.
The S6 trace found the shared pool was not saturated: its 10-slot idle estimate was about 132
slot-seconds on legacy order and 73 on gated coarse-first, while game-thread tile applies totaled only
@@ -1556,8 +1557,8 @@ by its RAII guard when the worker lambda exits. This still counts queued and run
results do not consume an admission slot. `voxel.StreamingLegacyPendingResultCap=1` restores the old
`PendingTiles` accounting; the test harness's `NearReserveMode=Legacy` also sets
`voxel.StreamingDynamicNearReserve=0`, reproducing the S6 path. `StreamingDynamicNearReserve` now
defaults to `1`; `StreamingCoarseFirst` remains `0`, and the apply boost remains `0` in the matched
measurement.
defaults to `1`; `StreamingCoarseFirst` remains `0`. That historical S6 matched measurement disabled
the startup apply boost (`voxel.StreamingStartupApplyBoost=0`); the current default is on (§8.27).
On the 2,578-key owner SurfaceWorld trace, the old-path control reached the full set in 17.527 s,
walkable ring in 0.650 s, and full LOD0 in 2.281 s. Dynamic admission reached them in 7.780 s,
+1
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@@ -10,6 +10,7 @@ then wait for his results / pasted errors. Same for in-editor checks — ask for
try to run anything.
## Read first (in order, load only what the task needs)
- **[CURRENT-STATE.md](CURRENT-STATE.md) — current shipping snapshot and verification entry point.**
- **[CODEMAP.md](CODEMAP.md) — ALWAYS.** Navigation: what it is, data-flow (§2), symbol→`file:line`
index (§3), "I want to change X → go here" (§5), conventions & gotchas (§6). Trust **symbol names
over line numbers** (lines drift).
+2 -2
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@@ -388,7 +388,7 @@ casse cette arithmetique *structurellement* — `BeginPlay` loggue une **Error**
| `AdvanceHeadlessDigMotionTest` / `RecordHeadlessDigMotionFrame` | 3060 / 3217 | Explicit `-voxel.TestDigMotion=1` repro: optional near digs, then repeats underfoot digs and samples `Generator->GetDensityAt` immediately after each edit, on its first subsequent simulated frame, and on every following observation frame. `-voxel.TestDigMotionFieldOverride=1` is a measurement-only prototype that clears `CurrentFloor` and switches CMC to falling when the sampled post-edit density is air; it is inactive by default. The test counts false support, false air and downward velocity beyond one gravity step. `-voxel.TestDigMotionUnderfootDigCount` is clamped to 1–100; `-voxel.TestDigMotionUnderfootIntervalSeconds=0` performs per-frame rapid edits. The accompanying gap audit is scoped to the dig session. |
| `MaybeFinishHeadlessStreamingTest` | — | The existing `voxel.TestExitSeconds` diagnostic emits `VoxelForgeStreamingExitDiag` at most every 30 elapsed seconds, including threshold and early-return test flags; no output when the timer is unconfigured. |
| `UpdateVisualStalenessAudit` | 5034 | Test-only camera-frustum coverage audit: tracks up to 24 real pre-skirt isosurface points per visible component, then counts frames where no visible tile component covers a previously visible, still-desired point (excluding edited bounds). `voxel.TestVisualGapInjectEarlyHide=1` hides a valid component for three frames and must be caught. `voxel.TestGapAuditLegacyHandoff=1` restores old handoff culling for A/B baselines. |
| `ProcessPendingChunks` | 7435 | Drains `CriticalProcessQueue`, `EditedProcessQueue`, `NearProcessQueue`, then `ProcessQueue`; applies under the authored 4-mesh/2 ms budget during normal play and the bounded shared startup budget (12 meshes/14 ms) until the initial desired set and walkable ring are ready. `voxel.StreamingStartupApplyBoost=0` restores the authored budget. `startup_apply_config` traces the actor-read CVar and both budgets; `startup_apply_budget` records activation/end. Reads per-request cancellation before removing its map entry, traces stale/obsolete/aborted discards with epoch and ordinal, then applies via `ApplyTileResult`. Step 1 prequeue still releases here and emits `VFStep1UploadCorpusReleased`. |
| `ProcessPendingChunks` | 7435 | Drains `CriticalProcessQueue`, `EditedProcessQueue`, `NearProcessQueue`, then `ProcessQueue`; applies under the authored 4-mesh/2 ms budget during normal play and the default-on bounded startup budget (24 meshes/14 ms, at most 30 s) until the initial desired set and walkable ring are ready. `voxel.StreamingStartupApplyBoost=0` restores the authored budget. `startup_apply_config` traces the actor-read CVar and both budgets; `startup_apply_budget` records activation/end. Reads per-request cancellation before removing its map entry, traces stale/obsolete/aborted discards with epoch and ordinal, then applies via `ApplyTileResult`. Step 1 prequeue still releases here and emits `VFStep1UploadCorpusReleased`. |
| `ApplyTileResult` | — | **Shared game-thread apply** for one `FChunkResult` (async drain + sync carve): discards stale generation epochs and keys no longer desired, marks loaded, ingests capture, EMPTY releases the tile's existing component (a re-gen can flip content→empty on band change — old geometry must not linger), else `ApplyMeshToTile`. Returns true iff a visible mesh uploaded (counts the budget). Doesn't touch `PendingTiles` (caller's). |
| `FVoxelStackSampler` / `FScopedVoxelStackRegistration` (`VoxelStackSampler.h/.cpp`) | — | **Diagnostic raw stack sampler, off by default.** A sampler thread captures registered generation workers' stacks (`CaptureThreadStackBackTrace`) every N µs and tags each with the tile's LOD. It writes bounded raw PCs to CSV plus a symbolization-free summary under `Saved/`; symbol resolution is deferred until after process exit so the measured process never initializes/calls DbgHelp for this diagnostic. Lifecycle teardown is serialized and registration TLS is session-tagged. Registration is per tile TASK in `LoadTile` (and the export's tasks), never per sample; disabled costs one relaxed atomic load. Game `-voxel.SampleStacks=<us>`, commandlet `-samplestacks[=us]`. |
| Room-cache performance (2026-09-13): `VF_FindPlayerFitPointForRoomMemoized` / `GPlayerFitMemo` (`VoxelCaveMorphology.cpp`), `voxel.TileCacheWindow` + `VoxelGenLOD::TileOriginVoxels/TileCellsPerAxis` (`VoxelGenerator.h`), `FChunkSDFSpatialIndex` | — | **Player-fit memo:** exact 97-word key, process-wide, `voxel.PlayerFitMemo`. **Tile cache window:** the room cache covers the requesting tile's footprint plus a fixed collect margin. It is set via `TGuardValue` in `GenerateMesh`/classify, and is window-invariant by construction (the margin does not grow with the tile). **LOD-gated:** fused path at LOD ≥ `voxel.TileCacheWindowMinLOD` (3), op-stack at LOD ≥ `voxel.TileCacheWindowOpStackMinLOD` (4); lower LODs keep the 4-chunk worker window, because the tile window slowed LOD0 evaluation ~6%. Strates whose authored terrain ops exceed the proven 256-voxel extent (or are malformed/unloaded) fall back to the legacy window (`VF_ComputeTerrainOpEnvelope`). `voxel.SpatialIndex` is -1 auto (off at fused LOD0, on elsewhere), 0 or 1. **Spatial index:** ordered XY buckets over cache primitives, exact rejection. The `static_assert` in `VoxelStrateTypes.h` ties `VF_STRATE_PARAM_FIELDS` to `FStrateGenerationParams` (83 fields + 8 B padding). |
@@ -396,7 +396,7 @@ casse cette arithmetique *structurellement* — `BeginPlay` loggue une **Error**
| `RecordTileHash` / `WriteTileHashDump` | — | Headless `-voxel.TileHashDump=<absolute path>` parity instrument. Records the exact `FVoxelMeshData` used by the streaming result, including empty/classified tiles, then writes sorted absolute tile keys, LOD step/cells, content-band limits, settings digest context, and the shared `VoxelGeometryHash` at `EndPlay`. |
| `SyncRemeshTile` | — | **INSTANT DIG**: level-0 same-frame re-mesh on the game thread. Uses `PreEditDensityCache` when the tile is resident in the bounded local cache, replays the current DiffLayer over that exact procedural lattice, then meshes/applies inline so a carve is visible THIS frame. A cache miss uses normal generation; it captures the unedited lattice if the tile needs meshing, while uniform-tile proofs remain enabled. |
| `PreEditDensityCache` / `VoxelForgePreEditDensityCache::BuildEditedGrid` | — | Per-world cache of the pawn's current L0 tile: exact 35³ pre-edit samples, max **171,500 bytes**. It is pruned when the pawn crosses chunk boundaries and cleared on `RegenerateAllChunks`. `BuildEditedGrid` snapshots touched diff chunks once and reproduces `GetDensityAt`'s final `pre-edit - EvaluateMods` operation before the per-call shared-grid mesher path. |
| `UpdateChunksAroundPosition` / `GetGenerationAdmissionCount` | 10990 / 10971 | Shared Core/legacy scheduler. Builds the desired set and delta-culls leavers; admits the occupied/support tile plus collision-required LOD0 tiles in the pawn's 3×3 XY ring as `CollisionCritical`. S5 coarse-first admission stays opt-in (`voxel.StreamingCoarseFirst=1`). `voxel.StreamingDynamicNearReserve=1` is now the default: it keeps the authored near reserve while moving or until the stationary walkable ring is ready, then makes those slots available to coarse work. Admission counts submitted queued/running tasks, not completed results waiting in the MPSC result queues; `voxel.StreamingLegacyPendingResultCap=1` restores the old `PendingTiles`-based cap for the negative control. `PendingTiles` still lasts through game-thread apply for duplicate suppression and result bookkeeping. The clipmap stays non-overlapping and load-before-unload / `TransitionHold` reconciliation remains authoritative. Standalone has no mirror of this actor scheduler. §8.10 + §8.26–8.28. |
| `UpdateChunksAroundPosition` / `GetGenerationAdmissionCount` | 10990 / 10971 | Shared Core/legacy scheduler. Builds the desired set and delta-culls leavers; admits the occupied/support tile plus collision-required LOD0 tiles in the pawn's 3×3 XY ring as `CollisionCritical`. S5 coarse-first admission stays opt-in (`voxel.StreamingCoarseFirst=1`). `voxel.StreamingDynamicNearReserve=1` is the default: it keeps the authored near reserve while moving or until the stationary walkable ring is ready, then makes those slots available to coarse work. Admission counts submitted queued/running tasks, not completed results waiting in the MPSC result queues; `voxel.StreamingLegacyPendingResultCap=1` restores the old `PendingTiles`-based cap for the negative control. `voxel.StreamingFarApplySupplement=1` is the default L121 lane: after the visible-apply cap, at most one far result is admitted when under half the apply-time budget and startup boost is inactive. `PendingTiles` still lasts through game-thread apply for duplicate suppression and result bookkeeping. The clipmap stays non-overlapping and load-before-unload / `TransitionHold` reconciliation remains authoritative. Standalone has no mirror of this actor scheduler. §8.10 + §8.26–8.28. |
| `AdvanceHeadlessCollisionGateStressTest` / `ObserveHeadlessCollisionGateStressTest` / `MaybeFinishHeadlessCollisionGateStressTest` / `MeasureHeadlessCollisionGateStressTerrain` | — | Explicit `-voxel.TestCollisionGateStress=1` harness only. The normal spawn-height cvar offsets from the measured density surface; `voxel.TestCollisionGateStressDeepDrop=1` carves a process-local box shaft from above the top to just above the floor tile, extending along the post-landing route so the pawn does not run into the shaft sidewall, temporarily raises only the transient test DiffLayer brush-radius allowance for that fixture, removes only the local pawn's redundant streaming anchor for this isolated repro, proves every sample in two complete outside-ring level-0 tiles is air before seeding their known-empty status, prewarms the known-empty in-ring column, and asserts that the support walk reaches the in-layout floor outside the aligned level-0 render ring before the pawn drops. The log reports whether the fixed gate retains that otherwise out-of-ring target. Other streaming anchors remain active. The fixture rejects a target or floor outside the layout, a non-air empty-tile proof, or a floor inside the aligned level-0 ring. The `GetDensityAt` column at capsule feet defines the local air/solid surface; the deep-drop column crossing is cached after its first exact scan. Each frame records actor position, velocity, direct foot tile and gate support readiness, gate state, signed feet clearance, and a ≤0.5-voxel sweep between positions. PASS requires no measured clearance below −5 cm; deep-drop gate-on also requires horizontal travel during a hold. Result logs include the terminal density column, first crossing below spawn height, hold count/time, and gated horizontal progress. |
| `BuildDesiredTiles` | 6482 | Builds `DesiredSorted`+`DesiredStamped` (player clipmap shells), then adds streaming anchors and the pending player's collision-only support column before the leaver sweep. It orders from the true local pawn position and builds `CriticalDesiredTiles` for the unresolved support target, occupied/support and heading tiles. Also rebuilds `DesiredTransitionDescendants` (ancestor → desired descendants, including face/edge-touching replacements) for the reconcile pass. |
| `CollisionGateDesiredTiles` / `RequestCollisionGateSupportTile` | 5062 | Retains an unresolved support target and up to three level-0 tiles below it across desired-set rebuilds. The additional keys are hidden collision-only tiles, queued ahead of ordinary streaming, and pruned once resolved or outside the active column. |
+57
View File
@@ -0,0 +1,57 @@
# VoxelForge current state
As of 2026-10-31. L131 is on `assembler/world` as `8107196`; this L132 worktree is on `wip/l132-dispatch-truth`, starting at `ebae71b`. Current-state claims below point to their code or measured report.
## What ships today
- **Core:** evaluator version **227**. Unreal's `AVoxelWorld::bUseVoxelForgeCore` is opt-in and defaults to `false`; the legacy generator remains the default runtime path. [Core version](Standalone/Core/include/VoxelForgeCore/VoxelForgeCore.h), [runtime switch](Source/VoxelForge/Public/VoxelWorld.h), [L130 report](Standalone/Research/WorldAssemblerM3/Linux130/REPORT.md).
- **Verified owner4 generator dispatch (L132):** SW binds `SurfaceWorld-native` because the owner export contains a matching `SurfaceWorld.Heightfield2D` v2 plan. FI binds `compiled-analytic/FloatingIslands` because its `FloatingIslands.ClusterField` v0 layout has no matching native island plan. TN and VS bind `compiled-analytic/TunnelNetwork` and `compiled-analytic/VerticalShafts`; their legacy recipe IDs provide neither a `NativeCaves`/`NativeLattice` graph recipe nor native field capability. The L132 fast-tier report prints the binding and generated tile-center share at each owner strate. [Dispatch](Standalone/Core/src/ShapeWorldInternal.h), [adapter recipe checks](Standalone/Core/include/VoxelForgeCore/VoxelForgeCore.h), [L132 report](Standalone/Research/WorldAssemblerM3/Linux132/REPORT.md).
- **Passages:** continuous smooth swept tubes with a continuous floor profile. L125 stamps conservative route slabs and outside sentinels into the tile cache; exact route geometry is still evaluated. All 21,425 route samples passed the open-air walk check; the nine-station floor probe's maximum root offset was 7.884 mm. L130 sets the shared influence reach to **1.0533 m** (0.75 m shell + 0.21 m relief + 0.50 m smooth-max support / 6 + 0.01 m margin), converted once from metres to Core voxels for the proof, feature, fallback, and off-grid bounds. [L125](Standalone/Research/WorldAssemblerM3/Linux125/REPORT.md), [L130](Standalone/Research/WorldAssemblerM3/Linux130/REPORT.md).
- **Streaming:** arrival uses a bounded startup apply burst: `voxel.StreamingStartupApplyBoost=1` by default, up to 24 visible meshes or 14 ms per frame for at most 30 seconds, until the initial desired set and walkable ring are ready. `voxel.StreamingFarApplySupplement=1` is also default-on: after the normal visible apply cap, at most one far result applies when under half the apply-time budget; it is inactive during the startup burst. Dynamic near reserve defaults on; coarse-first remains off; the legacy pending-result cap defaults off. The far-apply lane is Unreal-only. [CVar source](Source/VoxelForge/Private/VoxelWorld.cpp), [L121 report](Standalone/Research/WorldAssemblerM3/Linux121/REPORT.md), [architecture](ARCHITECTURE.md).
- **Determinism:** proven on Linux with Clang and GCC at W1/W8/W12. L131's unchanged-output comparison covers owner4's SW/FI/TN/VS views in 24 compiler/worker cases; the canonical owner4/owner2 recipe matrix also passes. Windows determinism is unverified. [L131 checks](Standalone/Research/WorldAssemblerM3/Linux131/REPORT.md), [v227 canonical hashes](Standalone/Tools/verify/baselines/owner-hash/canonical/).
## Current performance references
Headless medians in seconds, five interleaved L80-style measurements per version in each cell. Near-ready means the complete LOD0–2 set; whole-view is the full requested view. Values below are the edited L131 binary; the paired pre-cleanup comparison is in the [L131 report](Standalone/Research/WorldAssemblerM3/Linux131/REPORT.md) and [timing summary](Saved/Linux/l131/timing/summary.json).
| Stratum | Near-ready W8 / W12 | Whole-view W8 / W12 |
|---|---:|---:|
| S0 | 0.804 / 0.848 | 1.811 / 1.832 |
| S1 | 1.014 / 1.002 | 1.993 / 1.886 |
| S2 | 1.060 / 1.012 | 1.960 / 1.865 |
| S3 | 0.917 / 0.884 | 1.887 / 1.782 |
Across 40 paired runs per metric, the mean relative change from pre-cleanup L130 was −0.22% near-ready (95% CI −1.02% to +0.57%) and −0.29% whole-view (−1.04% to +0.46%); neither indicates a measurable slowdown. The machine gate was load 0.81 and 99.2% idle. [L80 protocol](Standalone/Research/WorldAssemblerM3/Linux80/REPORT.md), [runner and raw runs](Standalone/Research/WorldAssemblerM3/Linux131/RunL131Timing.py).
The latest recorded Linux Unreal start-to-LOD0–2 values are L127's one run per stratum: S0 2.456 s, S1 2.231 s, S2 2.514 s, S3 2.221 s. L130 did not rerun UE startup or movement. Five L127 runs at 30 m/s, 12 s moving plus 5 s dwell, had median moving near coverage **40.22%**, far holes **3.46%**, tick p99 **10.80 ms**, and worst tick **13.27 ms**. After stopping, near coverage reached 100% and far holes reached 0%. These are the latest UE references, not v227 UE measurements. [L127 report](Standalone/Research/WorldAssemblerM3/Linux127/REPORT.md), [L127 movement summary](Saved/Linux/l127/ue/movement-pairs-summary.json), [L127 start summaries](Saved/Linux/l127/ue/merge/start-summary.json).
## Open gaps
- Multiplayer world lifecycle is unfinished: seed/layout replication, authoritative modification RPCs, and serialized diff replay for late join are still open. See [ARCHITECTURE §9.5 and §9.7](ARCHITECTURE.md).
- Determinism has not been verified on Windows. Linux Clang/GCC agreement does not establish MSVC agreement.
- NullRHI measures residency and apply timing, not the first presented pixel or rendered enclosure. L127 also found four low-contrast views among 23 otherwise verified captures. [L121](Standalone/Research/WorldAssemblerM3/Linux121/REPORT.md), [L127](Standalone/Research/WorldAssemblerM3/Linux127/REPORT.md).
- UE startup/movement numbers above predate L130's v227 reach change; there is no L130/L131 UE movement comparison.
## How to verify
- Build standalone Clang or GCC with [`Standalone/BuildLinux.sh`](Standalone/BuildLinux.sh), for example `bash Standalone/BuildLinux.sh --compiler=clang++-19 --variant=l132-clang --fp-contract=off --jobs=4`. The script pins CPUs 0–11 and applies `prlimit --as=6442450944` itself.
- Fast tier: `python3 Standalone/Tools/verify/verify.py fast --out Saved/Linux/l132 --overall-timeout 1740`. It includes the L132 four-pose owner density-dispatch report; per-run logs and the summary stay under `Saved/Linux/l132`.
- Canonical output baselines are the v227 files in `Standalone/Tools/verify/baselines/owner-hash/canonical/`. L131 also provides reproducible pre-cleanup identity matrices for owner4 tile hashes and owner4/owner2 canonical hashes under `Standalone/Research/WorldAssemblerM3/Linux131/`.
- Timing follows L80: quiet machine, no overlapping build, one warm-up per version, five interleaved runs per stratum and worker count, W8/W12. Each headless run uses `taskset -c 0-11`, `prlimit --as=6442450944`, and a 1,740 s timeout. See [`RunL131Timing.py`](Standalone/Research/WorldAssemblerM3/Linux131/RunL131Timing.py).
- Linux host build: `/home/jahni/UnrealEngine/Engine/Build/BatchFiles/Linux/Build.sh VFHostEditor Linux Development -Project=/home/jahni/VFHost/VFHost.uproject -NoUBA -MaxParallelActions=4 -Log=/home/jahni/VoxelM/Plugins/VoxelForge/Saved/Linux/l131/ubt.log`. Run Unreal without `prlimit`.
## Closed experiments
These rejected speed/streaming proposals stay closed unless new evidence changes their measured failure. Reports and surviving patches are linked in the [L131 inventory](Standalone/Research/WorldAssemblerM3/Linux131/REPORT.md).
| Line | Result |
|---|---|
| L116 tunnel chord bound and z cache | Pair count fell 20.8%, but stayed 1.96× L109 and readiness was 15–30% slower. Patch: [`chord-bound-zcolumn-not-merged.patch`](Standalone/Research/WorldAssemblerM3/Linux116/patches/chord-bound-zcolumn-not-merged.patch), commit `89504ec`; see [report](Standalone/Research/WorldAssemblerM3/Linux116/REPORT.md). |
| L118 pair pruning / deferred floor work | Pruned 17–18% of candidate pairs but remained 17.2–25.7% behind L109 near-ready. [Report](Standalone/Research/WorldAssemblerM3/Linux118/REPORT.md); patch: [`l118-designs.patch`](Standalone/Research/WorldAssemblerM3/Linux118/l118-designs.patch). |
| L126 floor-call filters | Cut floor calls 20–23% without reducing pair counts; all eight cells missed L109. Candidate source was restored and no standalone patch was kept; see [report](Standalone/Research/WorldAssemblerM3/Linux126/REPORT.md) and commit `01a5094`. |
| L128 half-open slab ownership | Ownership audit passed, but readiness was 14.8–28.0% behind L109 and moving coverage dropped. Report and patch `l128-slab-ownership.patch` are in archived commit `7022d02`. |
| L129 2 m physical reach | v225's metre/Core-voxel bounds mismatch made the correctly bounded candidate do more work; it was slower and failed UE movement gates. Report and patch `l129-reach-2m.patch` are in archived commit `0d1140c`. |
| L120 priority split / extra worker slots | Neither met coverage and tick gates; 10 slots reached a 16.67 ms worst tick against 15.43 ms baseline. [Report](Standalone/Research/WorldAssemblerM3/Linux120/REPORT.md); no production patch retained. |
| L122 admission relaxation | Early admission missed p99 or far-hole gates; no behavior retained. [Report](Standalone/Research/WorldAssemblerM3/Linux122/REPORT.md); patch: [`l122-trace.patch`](Standalone/Research/WorldAssemblerM3/Linux122/l122-trace.patch). |
| L123 lookahead / completion gate | Lookahead failed p99 and worsened near/far coverage; queue-only also failed p99. [Report](Standalone/Research/WorldAssemblerM3/Linux123/REPORT.md); patch: [`l123-queue-lookahead.patch`](Standalone/Research/WorldAssemblerM3/Linux123/l123-queue-lookahead.patch). |
| L124 early LOD0 pages | Optimistic gain stayed below 100 ms except negative cases; no publication/scheduling implementation was made. [Report](Standalone/Research/WorldAssemblerM3/Linux124/REPORT.md). |
@@ -423,6 +423,7 @@ void RecordApplyFrame(const FApplyFrameSample& Sample)
"\"active_tasks\":%d,\"running_workers\":%d,\"task_cap\":%d,"
"\"pending_tiles\":%d,\"pending_results_estimate\":%d,"
"\"results_drained\":%d,\"apply_results\":%d,\"meshes_applied\":%d,\"max_applies\":%d,"
"\"supplemental_far_applies\":%d,"
"\"apply_budget_ms\":%s,\"count_limit_reached\":%d,\"time_limit_reached\":%d,"
"\"pending_by_lod\":%s,\"apply_results_by_lod\":%s,"
"\"meshes_by_lod\":%s,\"apply_ms_by_lod\":%s"),
@@ -432,7 +433,8 @@ void RecordApplyFrame(const FApplyFrameSample& Sample)
Sample.RunningWorkerTasks, Sample.TaskCap, Sample.PendingTiles,
Sample.PendingResultsEstimate, Sample.ResultsDrained, Sample.ApplyResultsByLevelTotal,
Sample.MeshesApplied,
Sample.MaxApplies, *Number(Sample.ApplyBudgetMilliseconds),
Sample.MaxApplies, Sample.SupplementalFarApplies,
*Number(Sample.ApplyBudgetMilliseconds),
Sample.bCountLimitReached ? 1 : 0, Sample.bTimeLimitReached ? 1 : 0,
*PendingByLevel, *ApplyResultsByLevel, *MeshesByLevel, *ApplyMillisecondsByLevel));
}
+91 -4
View File
@@ -268,6 +268,12 @@ namespace
GVoxelForgeStreamingResultBacklogCap,
TEXT("Maximum queued results plus admitted tile tasks; 0 disables the safety cap. This is separate from the worker-slot cap."));
int32 GVoxelForgeStreamingFarApplySupplement = 1;
FAutoConsoleVariableRef CVarVoxelForgeStreamingFarApplySupplement(
TEXT("voxel.StreamingFarApplySupplement"),
GVoxelForgeStreamingFarApplySupplement,
TEXT("After the normal visible-apply count is reached, allow one far mesh apply when half of the frame time budget remains; 0 disables the supplemental far lane."));
int32 GVoxelForgeStreamingReadyQueueDepth = 64;
FAutoConsoleVariableRef CVarVoxelForgeStreamingReadyQueueDepth(
TEXT("voxel.StreamingReadyQueueDepth"),
@@ -2223,6 +2229,12 @@ void AVoxelWorld::BeginPlay()
}
FParse::Value(FCommandLine::Get(), TEXT("voxel.StreamingStartupApplyBoost="),
GVoxelForgeStreamingStartupApplyBoost);
if (FParse::Value(FCommandLine::Get(), TEXT("voxel.StreamingFarApplySupplement="),
GVoxelForgeStreamingFarApplySupplement))
{
GVoxelForgeStreamingFarApplySupplement =
GVoxelForgeStreamingFarApplySupplement != 0 ? 1 : 0;
}
// Headless BuildHost does not reliably apply arbitrary console-variable command-line tokens
// before BeginPlay; parse the test switches explicitly so A/B runs exercise the requested path.
// BuildHost sans interface n'applique pas toujours les CVar arbitraires avant BeginPlay ;
@@ -2737,6 +2749,7 @@ void AVoxelWorld::BeginPlay()
"\"streaming_collision_lookahead\":%d,\"core_region_concurrent_admission\":%d,"
"\"collision_gate\":%d,"
"\"streaming_result_backlog_cap\":%d,\"streaming_startup_apply_boost\":%d,"
"\"streaming_far_apply_supplement\":%d,"
"\"streaming_background_worker_reserve\":%d,\"core_parallel_for_background_priority\":%d,"
"\"streaming_tile_background_low\":%d,\"streaming_tile_background_normal\":%d,"
"\"core_column_cache_direct_mapped\":%d,"
@@ -2758,6 +2771,7 @@ void AVoxelWorld::BeginPlay()
GVoxelForgeStreamingCollisionLookahead, GVoxelForgeCoreRegionConcurrentAdmission,
GVoxelForgeCollisionGate,
GVoxelForgeStreamingResultBacklogCap, GVoxelForgeStreamingStartupApplyBoost,
GVoxelForgeStreamingFarApplySupplement,
GVoxelForgeStreamingBackgroundWorkerReserve,
GVoxelForgeCoreParallelForBackgroundPriority,
GVoxelForgeStreamingTileBackgroundLow,
@@ -9881,6 +9895,7 @@ void AVoxelWorld::ProcessPendingChunks()
const double ApplyBudgetSeconds =
static_cast<double>(ApplyBudgetMilliseconds) * 0.001;
int32 MeshesApplied = 0;
int32 SupplementalFarApplies = 0;
int32 ResultsDrained = 0;
int32 ApplyResultsByLevelTotal = 0;
double ApplySeconds = 0.0;
@@ -9888,6 +9903,8 @@ void AVoxelWorld::ProcessPendingChunks()
TStaticArray<int32, 9> MeshesAppliedByLevel{};
TStaticArray<double, 9> ApplySecondsByLevel{};
bool bTimeBudgetHit = false;
bool bForceSupplementalFarDequeue = false;
bool bDequeuedSupplementalFar = false;
const auto RecordApplyFrame = [&]()
{
if (!VoxelForgeStartupTrace::IsActive()) return;
@@ -9911,6 +9928,7 @@ void AVoxelWorld::ProcessPendingChunks()
Sample.ResultsDrained = ResultsDrained;
Sample.ApplyResultsByLevelTotal = ApplyResultsByLevelTotal;
Sample.MeshesApplied = MeshesApplied;
Sample.SupplementalFarApplies = SupplementalFarApplies;
Sample.MaxApplies = MaxApplies;
Sample.ApplyBudgetMilliseconds = ApplyBudgetMilliseconds;
Sample.bCountLimitReached = MeshesApplied >= MaxApplies;
@@ -9939,6 +9957,7 @@ void AVoxelWorld::ProcessPendingChunks()
FChunkResult DequeuedChunk;
const auto DequeueNextResult = [&]() -> bool
{
bDequeuedSupplementalFar = false;
if (bStep1UploadCorpusReleased
&& Step1HeldApplyCursor < Step1HeldApplyResults.Num())
{
@@ -9954,8 +9973,19 @@ void AVoxelWorld::ProcessPendingChunks()
// Mirror the admission order. A horizon result that completed earlier must not consume
// the game-thread apply budget ahead of collision support, an edit, or ordinary LOD0.
if (CriticalProcessQueue.Dequeue(DequeuedChunk)
|| EditedProcessQueue.Dequeue(DequeuedChunk)
|| NearProcessQueue.Dequeue(DequeuedChunk)
|| EditedProcessQueue.Dequeue(DequeuedChunk))
{
RecordStreamingResultDequeued(DequeuedChunk);
return true;
}
if (bForceSupplementalFarDequeue)
{
if (!ProcessQueue.Dequeue(DequeuedChunk)) return false;
bDequeuedSupplementalFar = true;
RecordStreamingResultDequeued(DequeuedChunk);
return true;
}
if (NearProcessQueue.Dequeue(DequeuedChunk)
|| ProcessQueue.Dequeue(DequeuedChunk))
{
RecordStreamingResultDequeued(DequeuedChunk);
@@ -10104,6 +10134,10 @@ void AVoxelWorld::ProcessPendingChunks()
if (bMeshApplied)
{
++MeshesApplied;
if (bDequeuedSupplementalFar && ResultLevel >= 3)
{
++SupplementalFarApplies;
}
if (ResultLevel >= 0 && ResultLevel < 9)
{
++MeshesAppliedByLevel[ResultLevel];
@@ -10122,6 +10156,19 @@ void AVoxelWorld::ProcessPendingChunks()
}
if (MeshesApplied >= MaxApplies)
{
const double DrainElapsedSeconds = FPlatformTime::ToSeconds64(
FPlatformTime::Cycles64() - DrainStartCycles);
const bool bCanSupplementFar = MeshesApplied == MaxApplies
&& SupplementalFarApplies == 0
&& !bUseStartupApplyBoost
&& GVoxelForgeStreamingFarApplySupplement != 0
&& ApplyBudgetSeconds > 0.0
&& DrainElapsedSeconds < ApplyBudgetSeconds * 0.5;
if (bCanSupplementFar)
{
bForceSupplementalFarDequeue = true;
continue;
}
break;
}
}
@@ -15360,6 +15407,8 @@ bool AVoxelWorld::ApplyMeshToTile(FChunkResult& Result)
const int32 NumIndices = Result.NumTriangles * 3;
const int32 FirstCapIndex = FMath::Clamp(
NumIndices - Result.NumCeilingTriangles * 3, 0, NumIndices);
TFuture<ERealtimeMeshProxyUpdateStatus> ProxyPublicationFuture;
bool bHasProxyPublicationFuture = false;
{
TRACE_CPUPROFILER_EVENT_SCOPE(VoxelForge_RMC_CreateSections);
if (bHasGroundTris)
@@ -15369,9 +15418,10 @@ bool AVoxelWorld::ApplyMeshToTile(FChunkResult& Result)
const FRealtimeMeshStreamRange GroundRange =
URealtimeMeshBlueprintFunctionLibrary::MakeStreamRange(
0, Result.NumVertices, 0, FirstCapIndex);
RTMesh->CreateSection(
ProxyPublicationFuture = RTMesh->CreateSection(
FRealtimeMeshSectionKey::CreateForPolyGroup(GroupKey, 0),
GroundConfig, GroundRange, /*bShouldCreateCollision*/ bWantsCollision);
bHasProxyPublicationFuture = true;
}
if (bHasCeilingTris)
{
@@ -15380,11 +15430,48 @@ bool AVoxelWorld::ApplyMeshToTile(FChunkResult& Result)
const FRealtimeMeshStreamRange CapRange =
URealtimeMeshBlueprintFunctionLibrary::MakeStreamRange(
0, Result.NumVertices, FirstCapIndex, NumIndices);
RTMesh->CreateSection(
ProxyPublicationFuture = RTMesh->CreateSection(
FRealtimeMeshSectionKey::CreateForPolyGroup(GroupKey, 1),
CapConfig, CapRange, /*bShouldCreateCollision*/ bWantsCollision);
bHasProxyPublicationFuture = true;
}
}
const uint64 ProxyPublicationSubmitCycles = FPlatformTime::Cycles64();
if (bTraceRmcTiming && bHasProxyPublicationFuture)
{
const TWeakObjectPtr<AVoxelWorld> WeakWorld(this);
const TWeakObjectPtr<URealtimeMeshComponent> WeakComponent(MeshComp);
const FVoxelTileKey PublishedTile = Tile;
const uint64 RequestOrdinal = Result.RequestOrdinal;
const uint64 ApplyStartedCycles = ApplyStartCycles;
ProxyPublicationFuture.Next(
[WeakWorld, WeakComponent, PublishedTile, RequestOrdinal,
ApplyStartedCycles, ProxyPublicationSubmitCycles](
ERealtimeMeshProxyUpdateStatus Status)
{
if (!VoxelForgeStartupTrace::IsActive()) return;
const uint64 PublishedCycles = FPlatformTime::Cycles64();
const URealtimeMeshComponent* Component = WeakComponent.Get();
VoxelForgeStartupTrace::RecordEvent(TEXT("rmc_proxy_published"), FString::Printf(
TEXT("\"tile\":[%d,%d,%d],\"level\":%d,\"request_ordinal\":%llu,"
"\"proxy_update_status\":%d,\"apply_to_proxy_ms\":%.3f,"
"\"section_submit_to_proxy_ms\":%.3f,\"component_visible\":%d,"
"\"world_valid\":%d"),
PublishedTile.Coord.X, PublishedTile.Coord.Y, PublishedTile.Coord.Z,
PublishedTile.Level, static_cast<unsigned long long>(RequestOrdinal),
static_cast<int32>(Status),
ApplyStartedCycles != 0 && PublishedCycles >= ApplyStartedCycles
? FPlatformTime::ToSeconds64(PublishedCycles - ApplyStartedCycles) * 1000.0
: 0.0,
ProxyPublicationSubmitCycles != 0
&& PublishedCycles >= ProxyPublicationSubmitCycles
? FPlatformTime::ToSeconds64(
PublishedCycles - ProxyPublicationSubmitCycles) * 1000.0
: 0.0,
Component && Component->IsVisible() ? 1 : 0,
WeakWorld.IsValid() ? 1 : 0));
});
}
if (bTraceRmcTiming)
{
TraceSectionConfigMilliseconds = FPlatformTime::ToSeconds64(
@@ -59,6 +59,7 @@ namespace VoxelForgeStartupTrace
int32 ResultsDrained = 0;
int32 ApplyResultsByLevelTotal = 0;
int32 MeshesApplied = 0;
int32 SupplementalFarApplies = 0;
int32 MaxApplies = 0;
double ApplyBudgetMilliseconds = 0.0;
bool bCountLimitReached = false;
@@ -0,0 +1,255 @@
#pragma once
#include <algorithm>
#include <array>
#include <cmath>
#include <cstddef>
#include <limits>
#include <span>
#include <vector>
namespace VoxelForgeCore::PassageSpline
{
using FPoint = std::array<double,4>;
inline constexpr std::size_t ArcTableSteps = 32;
inline constexpr double UpperMouthFloorBlendRadiusMetres = 3.5;
struct FSegment
{
FPoint a{},b{};
double alongMetres=0.0,lengthMetres=0.0;
std::size_t controlSpan=0;
double tA=0.0,tB=1.0;
double plannedFloorA=0.0,plannedFloorB=0.0;
};
inline double KnotSpan(const FPoint& a,const FPoint& b,double unitsPerMetre)
{
const double dx=(b[0]-a[0])/unitsPerMetre;
const double dy=(b[1]-a[1])/unitsPerMetre;
return std::max(1.0e-6,std::sqrt(std::sqrt(dx*dx+dy*dy)));
}
inline FPoint EvaluateRaw(std::span<const FPoint> controls,std::size_t span,
double t,double unitsPerMetre)
{
const auto& p1=controls[span];
const auto& p2=controls[span+1];
const auto& p0=controls[span==0?0:span-1];
const auto& p3=controls[std::min(span+2,controls.size()-1)];
const double dt0=KnotSpan(p0,p1,unitsPerMetre);
const double dt1=KnotSpan(p1,p2,unitsPerMetre);
const double dt2=KnotSpan(p2,p3,unitsPerMetre);
const double t2=t*t,t3=t2*t;
FPoint result{};
for(const std::size_t axis:{0u,1u,3u})
{
const double m1=dt1*((p1[axis]-p0[axis])/dt0
-(p2[axis]-p0[axis])/(dt0+dt1)
+(p2[axis]-p1[axis])/dt1);
const double m2=dt1*((p2[axis]-p1[axis])/dt1
-(p3[axis]-p1[axis])/(dt1+dt2)
+(p3[axis]-p2[axis])/dt2);
result[axis]=(2.0*t3-3.0*t2+1.0)*p1[axis]
+(-2.0*t3+3.0*t2)*p2[axis]
+(t3-2.0*t2+t)*m1+(t3-t2)*m2;
}
result[2]=std::lerp(p1[2],p2[2],t);
result[3]=std::clamp(result[3],std::min(p1[3],p2[3]),
std::max(p1[3],p2[3]));
return result;
}
inline bool ClosestRouteHeightAtXY(std::span<const std::array<double,3>> route,
double x,double y,double& height,double& distanceSquared)
{
if(route.empty())return false;
distanceSquared=std::numeric_limits<double>::infinity();
const auto consider=[&](const std::array<double,3>& point)
{
const double dx=x-point[0],dy=y-point[1];
const double candidate=dx*dx+dy*dy;
if(candidate<distanceSquared)
{distanceSquared=candidate;height=point[2];}
};
if(route.size()==1)
{
consider(route.front());
return true;
}
for(std::size_t i=1;i<route.size();++i)
{
const auto& a=route[i-1];
const auto& b=route[i];
const double dx=b[0]-a[0],dy=b[1]-a[1];
const double lengthSquared=dx*dx+dy*dy;
const double t=lengthSquared>1.0e-12
?std::clamp(((x-a[0])*dx+(y-a[1])*dy)/lengthSquared,0.0,1.0):0.0;
const std::array<double,3> point={a[0]+t*dx,a[1]+t*dy,
std::lerp(a[2],b[2],t)};
consider(point);
}
return std::isfinite(distanceSquared);
}
inline double BlendUpperMouthFloorAtXY(
std::span<const std::array<double,3>> receivingRoute,double x,double y,
double plannedFloor,double mouthX,double mouthY,double mouthFloor,
double tangentX,double tangentY,
double blendRadiusMetres,double playerCenterAboveFloorMetres,
double unitsPerMetre=1.0)
{
if(receivingRoute.empty()||!(blendRadiusMetres>0.0)
||!(unitsPerMetre>0.0))return plannedFloor;
const double dx=(x-mouthX)/unitsPerMetre;
const double dy=(y-mouthY)/unitsPerMetre;
if(dx*tangentX+dy*tangentY>=0.0)return plannedFloor;
const double dz=(plannedFloor-mouthFloor)/unitsPerMetre;
const double distance=std::sqrt(dx*dx+dy*dy+dz*dz);
double routeHeight=0.0,routeDistanceSquared=0.0;
if(distance>blendRadiusMetres
||!ClosestRouteHeightAtXY(receivingRoute,x,y,routeHeight,
routeDistanceSquared)
||routeDistanceSquared>std::pow(2.0*blendRadiusMetres*unitsPerMetre,2.0))
return plannedFloor;
const double t=std::clamp(distance/blendRadiusMetres,0.0,1.0);
const double blend=t*t*(3.0-2.0*t);
const double receivingFloor=routeHeight
-playerCenterAboveFloorMetres*unitsPerMetre;
return std::lerp(plannedFloor,receivingFloor,blend);
}
inline std::vector<FSegment> BuildSegments(std::span<const FPoint> controls,
std::size_t spanCount,double spacingMetres,double unitsPerMetre=1.0,
std::span<const double> plannedFloorProfile={},
double maximumChordErrorMetres=0.0)
{
std::vector<FSegment> result;
if(controls.size()<2||!(spacingMetres>0.0)||!(unitsPerMetre>0.0))return result;
spanCount=std::min(spanCount,controls.size()-1);
double alongMetres=0.0;
for(std::size_t span=0;span<spanCount;++span)
{
std::array<double,ArcTableSteps+1> horizontalArc{};
auto previous=EvaluateRaw(controls,span,0.0,unitsPerMetre);
for(std::size_t step=1;step<=ArcTableSteps;++step)
{
const auto current=EvaluateRaw(controls,span,
static_cast<double>(step)/ArcTableSteps,unitsPerMetre);
const double dx=(current[0]-previous[0])/unitsPerMetre;
const double dy=(current[1]-previous[1])/unitsPerMetre;
horizontalArc[step]=horizontalArc[step-1]+std::sqrt(dx*dx+dy*dy);
previous=current;
}
const double spanLength=horizontalArc.back();
const std::size_t baseSegmentCount=std::max<std::size_t>(1,
static_cast<std::size_t>(std::ceil(spanLength/spacingMetres)));
std::vector<FPoint> points;
std::vector<double> parameters;
points.reserve(baseSegmentCount+1);
parameters.reserve(baseSegmentCount+1);
const auto parameterAtArc=[&](double targetArc)
{
const auto upper=std::lower_bound(horizontalArc.begin()+1,
horizontalArc.end(),targetArc);
const std::size_t upperIndex=static_cast<std::size_t>(
upper-horizontalArc.begin());
const std::size_t lowerIndex=upperIndex-1;
const double arcSpan=horizontalArc[upperIndex]-horizontalArc[lowerIndex];
const double arcT=arcSpan>1.0e-12
?std::clamp((targetArc-horizontalArc[lowerIndex])/arcSpan,0.0,1.0):0.0;
return (static_cast<double>(lowerIndex)+arcT)/ArcTableSteps;
};
parameters.push_back(0.0);
const double chordError=std::max(0.0,maximumChordErrorMetres);
const auto appendAdaptive=[&](auto&& self,double tA,double tB,
const FPoint& a,const FPoint& b,unsigned depth)->void
{
constexpr std::array<double,3> CheckFractions={0.25,0.5,0.75};
double maximumError=0.0,polylineLength=0.0;
FPoint previous=a;
for(const double fraction:CheckFractions)
{
const FPoint current=EvaluateRaw(controls,span,
std::lerp(tA,tB,fraction),unitsPerMetre);
const double chordX=std::lerp(a[0],b[0],fraction);
const double chordY=std::lerp(a[1],b[1],fraction);
const double dx=(current[0]-chordX)/unitsPerMetre;
const double dy=(current[1]-chordY)/unitsPerMetre;
const double dr=(current[3]-std::lerp(a[3],b[3],fraction))
/unitsPerMetre;
maximumError=std::max(maximumError,
std::sqrt(dx*dx+dy*dy+dr*dr));
const double segmentX=(current[0]-previous[0])/unitsPerMetre;
const double segmentY=(current[1]-previous[1])/unitsPerMetre;
polylineLength+=std::sqrt(segmentX*segmentX+segmentY*segmentY);
previous=current;
}
const double finalX=(b[0]-previous[0])/unitsPerMetre;
const double finalY=(b[1]-previous[1])/unitsPerMetre;
polylineLength+=std::sqrt(finalX*finalX+finalY*finalY);
const bool split=(polylineLength>spacingMetres*(1.0+1.0e-9)
||(chordError>0.0&&maximumError>chordError))&&depth<12;
if(split)
{
const double tMid=(tA+tB)*0.5;
const FPoint middle=EvaluateRaw(controls,span,tMid,unitsPerMetre);
self(self,tA,tMid,a,middle,depth+1);
self(self,tMid,tB,middle,b,depth+1);
return;
}
parameters.push_back(tB);
};
for(std::size_t segment=1;segment<=baseSegmentCount;++segment)
{
const double targetA=spanLength*static_cast<double>(segment-1)
/baseSegmentCount;
const double targetB=spanLength*static_cast<double>(segment)
/baseSegmentCount;
const double tA=parameterAtArc(targetA);
const double tB=parameterAtArc(targetB);
const FPoint a=EvaluateRaw(controls,span,tA,unitsPerMetre);
const FPoint b=EvaluateRaw(controls,span,tB,unitsPerMetre);
appendAdaptive(appendAdaptive,tA,tB,a,b,0);
}
points.reserve(parameters.size());
for(const double t:parameters)
points.push_back(EvaluateRaw(controls,span,t,unitsPerMetre));
std::vector<double> sampledHorizontalArc(points.size(),0.0);
for(std::size_t i=1;i<points.size();++i)
{
const double dx=(points[i][0]-points[i-1][0])/unitsPerMetre;
const double dy=(points[i][1]-points[i-1][1])/unitsPerMetre;
sampledHorizontalArc[i]=sampledHorizontalArc[i-1]
+std::sqrt(dx*dx+dy*dy);
}
const double sampledSpanLength=sampledHorizontalArc.back();
for(std::size_t i=0;i<points.size();++i)
{
const double progress=sampledSpanLength>1.0e-12
?sampledHorizontalArc[i]/sampledSpanLength:parameters[i];
points[i][2]=std::lerp(controls[span][2],controls[span+1][2],progress);
}
for(std::size_t i=1;i<points.size();++i)
{
const double dx=(points[i][0]-points[i-1][0])/unitsPerMetre;
const double dy=(points[i][1]-points[i-1][1])/unitsPerMetre;
const double dz=(points[i][2]-points[i-1][2])/unitsPerMetre;
const double length=std::sqrt(dx*dx+dy*dy+dz*dz);
const auto floorAt=[&](std::size_t index)
{
if(plannedFloorProfile.size()!=controls.size())
return points[index][2];
const double progress=sampledSpanLength>1.0e-12
?sampledHorizontalArc[index]/sampledSpanLength:parameters[index];
return std::lerp(plannedFloorProfile[span],
plannedFloorProfile[span+1],progress);
};
result.push_back({points[i-1],points[i],alongMetres,length,span,
parameters[i-1],parameters[i],floorAt(i-1),floorAt(i)});
alongMetres+=length;
}
}
return result;
}
}
@@ -12,6 +12,7 @@
#include <vector>
#include "VoxelForgeCore/Linux77Profiler.h"
#include "VoxelForgeCore/PassageSpline.h"
// UBT supplies this export/import macro for the runtime module. The standalone target has no
// module boundary, so leave it empty there. UBT fournit la macro; le viewer autonome reste neutre.
@@ -137,46 +138,44 @@ namespace VoxelForgeCore
bool passageComposerProfiled = false;
std::uint64_t passageTileFeatureCount = 0;
std::uint64_t passageTileRouteSegmentCandidates = 0;
std::uint64_t passageTileMouthSegmentCandidates = 0;
std::uint64_t resolvedBoundaryBandQueries = 0;
std::uint64_t passageComposerQueries = 0;
std::uint64_t passageIterations = 0;
std::uint64_t passageTileBoundChecks = 0;
std::uint64_t passageTileBoundRejects = 0;
std::uint64_t passageTileBoundSkippedIterations = 0;
std::uint64_t passageUpperMouthFilterChecks = 0;
std::uint64_t passageColumnCandidates = 0;
std::uint64_t passageColumnDistanceCalls = 0;
std::uint64_t passageNegativeBoundChecks = 0;
std::uint64_t passageNegativeBoundRejects = 0;
std::uint64_t passagePositiveBoundChecks = 0;
std::uint64_t passagePositiveBoundRejects = 0;
std::uint64_t passageCarveSegmentVisits = 0;
std::uint64_t passageSmoothCarveJoins = 0;
std::uint64_t passageSupportSegmentVisits = 0;
std::uint64_t passageSmoothSupportJoins = 0;
std::uint64_t passageSupportCapsuleChecks = 0;
std::uint64_t passageLaterBoreChecks = 0;
std::uint64_t passageOtherCapsuleChecks = 0;
std::uint64_t passageMouthSupportCalls = 0;
std::uint64_t passageMouthRouteSegmentChecks = 0;
std::uint64_t passageReliefFieldCalls = 0;
std::uint64_t passageSmoothstepEvaluations = 0;
// L99 tile-local swept-tube base and detail passes. These are populated only
// by the opt-in passage composer profile, except the mesh composition itself.
std::uint64_t passageSweepRouteSegmentCandidates = 0;
std::uint64_t passageSweepSegmentSamplePairs = 0;
std::uint64_t passageSweepPrepareNanoseconds = 0;
std::uint64_t passageSweepOutsideInfluencePairs = 0;
std::uint64_t passageSweepShellSupportSkips = 0;
std::uint64_t passageSweepMinimumUpdates = 0;
std::uint64_t passageSweepBaseInfluenceSamples = 0;
std::uint64_t passageSweepDetailShellSamples = 0;
std::uint64_t passageSweepGridSamples = 0;
std::uint64_t passageSweepNoInfluenceGridSamples = 0;
std::uint64_t passageSweepTouchedSamples = 0;
std::uint64_t passageSweepStampedOutsideSamples = 0;
std::uint64_t passageSweepCacheValidSamples = 0;
std::uint64_t passageSweepCacheValidUniqueSamples = 0;
std::uint64_t passageSweepUniqueTouchedSamples = 0;
std::uint64_t passageSweepBodyBandSamples = 0;
std::uint64_t passageSweepShellBandSamples = 0;
std::uint64_t passageSweepUniqueBandSamples = 0;
std::uint64_t passageSweepOverlapPairs = 0;
std::uint64_t passageSweepContributingPairs = 0;
std::uint64_t passageSweepCrossPassageOverlaps = 0;
std::uint64_t passageSweepFloorProfileCalls = 0;
std::uint64_t passageSweepAllocatedBytes = 0;
std::uint64_t passageSweepPrepareScratchBytes = 0;
std::uint64_t passageSweepLookups = 0;
std::uint64_t passageSweepCacheHits = 0;
std::uint64_t passageSweepBaseInfluenceHits = 0;
std::uint64_t passageSweepOutOfInfluenceHits = 0;
std::uint64_t passageSweepMissingSamples = 0;
std::uint64_t passageSweepOffGridMisses = 0;
std::uint64_t passageSweepUnpreparedMisses = 0;
std::array<std::uint64_t,12> passageSweepMissingLookupsByCaller{};
std::array<std::uint64_t,12> passageSweepExactRouteFallbacksByCaller{};
std::array<std::uint64_t,12> passageSweepFeatureBoundSkipsByCaller{};
@@ -488,7 +487,19 @@ namespace VoxelForgeCore
// Version 210 keeps bulk native-cave sampling on the scalar field path at strata edges.
// Version 211 makes coordinate biasing in the shared cell hash unsigned, removing signed-overflow UB.
// Version 212 balances generated entry routes against existing walk lanes and preserves their shared treads.
inline constexpr std::uint32_t WorldAssemblyEvaluatorVersion = 216;
// Version 218 sweeps passages around a dense smooth spline and limits exposed shells to a trough.
// Version 219 smooths passage XY while mapping each planned height chord over its sampled horizontal arc.
// Version 220 adaptively samples passage curves and rounds open-air wall crests.
// Version 221 ranks passage segments before floor shaping and preserves their signed exterior distance.
// Version 223 projects the floor onto one continuous arc-length profile and groups
// dense passage samples into coarse tile candidates. Version 224 keeps the same
// continuous floor while relaxing the spline chord tolerance and bounding shell work.
// Version 226 unifies the passage influence reach in metres and converts it to core
// voxels for every broadphase and proof bound. Version 227 uses the exact smooth-max
// support width/6 when deriving that reach. Version 228 composes deterministic cave
// graphs from fixed passage mouths and the owner Tunnel Network settings. Version 229
// budgets cave floor support; 230 records a shared backbone floor profile and joint cap.
inline constexpr std::uint32_t WorldAssemblyEvaluatorVersion = 230;
enum class FieldChannel : std::uint32_t
{
@@ -883,6 +894,7 @@ namespace VoxelForgeCore
inline constexpr std::uint32_t ResolvedLayoutStampVocabularyVersionV2 = 2;
inline constexpr std::uint32_t ResolvedLayoutStampVocabularyVersionV3 = 3;
inline constexpr std::uint32_t ResolvedLayoutCavernGraphVocabularyVersionV1 = 1;
inline constexpr std::uint32_t ResolvedLayoutCavernGraphVocabularyVersionV2 = 2;
inline constexpr std::uint32_t ResolvedLayoutOreVeinVocabularyVersionV1 = 1;
enum class ResolvedLayoutValidationModeV3 : std::uint8_t { compatibility, strict };
@@ -947,6 +959,11 @@ namespace VoxelForgeCore
std::array<std::int64_t, 3> centerMicrometres{};
std::array<std::int64_t, 3> halfExtentsMicrometres{};
std::int64_t floorMicrometres = 0;
// Optional shared backbone profile reference. The room floor plane is
// floorMicrometres plus this Q16 XY gradient from centerMicrometres.
std::string floorProfileStableId;
std::int64_t floorProfileDistanceMicrometres = -1;
std::array<std::int32_t, 2> floorGradientQ16{};
std::int64_t smoothWidthMicrometres = 0;
// Optional feature-to-feature union width. Zero preserves the historical
// behavior where smoothWidthMicrometres also controls the graph union.
@@ -966,6 +983,11 @@ namespace VoxelForgeCore
std::int32_t strateIndex = -1;
// A single cubic Bezier in XY. Its four Z values are the cubic floor profile.
std::array<std::array<std::int64_t, 3>, 4> controlPointsMicrometres{};
// Edges with the same profile ID are adjacent pieces of one shared h(s).
// Distances are signed along that profile, so a terminal edge may be reversed.
std::string floorProfileStableId;
std::int64_t floorProfileStartDistanceMicrometres = -1;
std::int64_t floorProfileEndDistanceMicrometres = -1;
// Resolve-time, error-bounded approximation of the cubic centerline. Each
// consecutive pair is a physical segment used by the native cave field.
std::vector<std::array<std::int64_t, 3>> polylineMicrometres;
@@ -982,6 +1004,37 @@ namespace VoxelForgeCore
std::array<std::int64_t, 3> boundsMaximumMicrometres{};
};
// Inputs to the reusable, plan-time cave graph composer. All distances are
// integer micrometres and unit-interval values are Q16 so the resolved graph
// does not depend on worker count or floating-point random distributions.
struct ResolvedCavernPlannerSettingsV1
{
std::int64_t roomSpacingMicrometres = 16000000;
std::int64_t minimumRoomRadiusMicrometres = 2000000;
std::int64_t maximumRoomRadiusMicrometres = 5000000;
std::int64_t destinationRadiusMicrometres = 6000000;
// Solid floor backing below the planned edge floor, preserved after graph
// unions and passage composition. This is separate from bore height.
std::int64_t floorSupportDepthMicrometres = 750000;
std::int64_t minimumTunnelRadiusMicrometres = 750000;
std::int64_t maximumTunnelRadiusMicrometres = 1000000;
std::int64_t maximumTunnelLengthMicrometres = 45000000;
std::int64_t tunnelWarpMicrometres = 0;
std::int64_t caveWarpMicrometres = 0;
std::int64_t smoothWidthMicrometres = 500000;
std::int64_t irregularityAmplitudeMicrometres = 0;
std::int64_t irregularityWavelengthMicrometres = 0;
std::int32_t roomDensityQ16 = 22938;
std::int32_t tunnelDensityQ16 = 26214;
std::int32_t roomShapeVarietyQ16 = 32768;
std::int32_t roomHeightRatioQ16 = 55706;
std::int32_t roomFloorCutMinimumQ16 = 45875;
std::int32_t roomFloorCutMaximumQ16 = 58982;
std::int32_t tunnelHorizontalBiasQ16 = 32768;
std::int32_t originRoomMaximumConnections = 4;
bool tunnelsFlowTowardOrigin = true;
};
// Immutable material-only deposits. The capsule and its conservative bounds are in
// micrometres; bounds include irregularity and the blend envelope.
struct ResolvedLayoutOreVeinRequestV1
@@ -1041,7 +1094,6 @@ namespace VoxelForgeCore
{
bool hasSurfaceLanding = false;
bool hasFloatingIslandLanding = false;
bool usePassageAnchorForColumns = false;
bool hasNativeCaveField = false;
bool hasNativeLatticeField = false;
};
@@ -1087,7 +1139,7 @@ namespace VoxelForgeCore
inline bool IsNativeCaveFieldStratum(const ResolvedLayoutStratumV2& stratum) noexcept
{
return stratum.generatorKind=="Caves"
return (stratum.generatorKind=="Caves"||stratum.generatorKind=="TunnelNetwork")
&&stratum.recipeId=="Core.Caves.PrimitiveField"
&&stratum.recipeVersion==1;
}
@@ -1145,28 +1197,6 @@ namespace VoxelForgeCore
std::vector<ResolvedLayoutPassagePointV1> controlPoints;
};
struct PassageVoidCrossingAuditV1
{
std::size_t passageIndex = 0;
std::size_t firstSegment = 0;
std::size_t lastSegment = 0;
std::uint64_t unsupportedSamples = 0;
double unsupportedLengthMetres = 0.0;
std::array<double, 4> startPointSubvoxels{};
std::array<double, 4> endPointSubvoxels{};
bool needsColumn = false;
bool connectedAtStart = false;
bool connectedAtEnd = false;
std::array<std::int64_t, 2> columnAxisSubvoxels{};
std::int64_t columnTopZSubvoxels = 0;
std::int64_t columnBottomZSubvoxels = 0;
std::int64_t columnMinimumRadiusSubvoxels = 0;
std::int64_t columnNominalRadiusSubvoxels = 0;
std::int64_t columnMaximumRadiusSubvoxels = 0;
double maximumRouteOffsetMetres = 0.0;
double maximumBoreRadiusMetres = 0.0;
};
struct ResolvedLayoutPassageConfigV1
{
std::int32_t upperStrateIndex = -1;
@@ -1270,6 +1300,17 @@ namespace VoxelForgeCore
std::span<const ResolvedCavernRoomV1> rooms,
std::span<const ResolvedCavernEdgeV1> edges,
std::string& error);
// Build a deterministic, walkable room-and-tunnel graph between the two
// passage mouths that terminate in strateIndex. Compound rooms are emitted
// as overlapping room primitives; the route is planned below a 15 degree
// walking grade and every corridor carries a 4.5 m vertical clearance.
VFCORE_API bool PlanResolvedCavernNetworkV1(
const ResolvedLayoutSnapshotV3& layout, std::int32_t seed,
std::int32_t strateIndex,
const ResolvedCavernPlannerSettingsV1& settings,
std::vector<ResolvedCavernRoomV1>& rooms,
std::vector<ResolvedCavernEdgeV1>& edges,
std::string& error);
VFCORE_API bool ResolveResolvedLayoutOreVeinsV1(
ResolvedLayoutSnapshotV3& layout, std::int32_t seed,
std::span<const ResolvedLayoutOreVeinRequestV1> requests,
@@ -1836,10 +1877,6 @@ namespace VoxelForgeCore
bool profileMesherStages = false;
// Research-only: count passage-composer work per generated tile.
bool profilePassageComposer = false;
// Research-only field comparison. A nonnegative value clamps the source density
// entering passage composition to at least -N voxel units for this tile.
// A negative value leaves the process-level diagnostic override in control.
double diagnosticPassageSourceFloorVoxels = -1.0;
// Research-only field comparison. Zero keeps the unbounded passage carve;
// a positive value bounds its signed-distance reach in metres. A negative
// value leaves the process-level L93 setting in control.
@@ -1932,12 +1969,6 @@ namespace VoxelForgeCore
OreMiningYieldV1 measureOreMiningYieldForSphere(
Vec3d centerVoxel, double radiusMetres,
double sampleSpacingMetres = 0.25) const;
// Audit-only view of density-field columns and short spans supporting passage voids.
std::vector<PassageVoidCrossingAuditV1> passageVoidCrossings() const;
bool isPassageColumnSample(std::size_t passageIndex, std::size_t segmentIndex,
Vec3d voxelPosition) const;
bool isPassageShortSpanSample(std::size_t passageIndex, std::size_t segmentIndex,
Vec3d voxelPosition) const;
// Audit-only selector provenance for the same point evaluator; never used by meshing.
std::string densityDispatchPathAt(Vec3d voxelPosition) const;
// Analytic source distance without the occupancy-preserving near-zero clamp or packed proxy.
+683 -5
View File
@@ -621,6 +621,10 @@ namespace
<<"],\"half_extents_um\":["<<room.halfExtentsMicrometres[0]<<','
<<room.halfExtentsMicrometres[1]<<','<<room.halfExtentsMicrometres[2]
<<"],\"floor_um\":"<<room.floorMicrometres
<<",\"floor_profile_id\":"<<LayoutEscape(room.floorProfileStableId)
<<",\"floor_profile_distance_um\":"<<room.floorProfileDistanceMicrometres
<<",\"floor_gradient_q16\":["<<room.floorGradientQ16[0]<<','
<<room.floorGradientQ16[1]<<']'
<<",\"smooth_width_um\":"<<room.smoothWidthMicrometres
;
if(room.unionWidthMicrometres>0)
@@ -647,6 +651,11 @@ namespace
out<<'['<<p[0]<<','<<p[1]<<','<<p[2]<<']';
}
out<<']';
out<<",\"floor_profile_id\":"<<LayoutEscape(edge.floorProfileStableId)
<<",\"floor_profile_start_distance_um\":"
<<edge.floorProfileStartDistanceMicrometres
<<",\"floor_profile_end_distance_um\":"
<<edge.floorProfileEndDistanceMicrometres;
if(!edge.polylineMicrometres.empty())
{
out<<",\"polyline_um\":[";
@@ -888,10 +897,7 @@ bool ResolvedLayoutSnapshotV3::finalize(std::string& error)
else if(IsNativeLatticeFieldStratum(x))
x.passageCapabilities.hasNativeLatticeField=true;
else if(x.generatorKind=="FloatingIslands")
{
x.passageCapabilities.hasFloatingIslandLanding=true;
x.passageCapabilities.usePassageAnchorForColumns=true;
}
if(i+1<strates.size())
{
const auto& lower=strates[i+1];
@@ -1238,7 +1244,8 @@ bool ResolvedLayoutSnapshotV3::validate(ResolvedLayoutValidationModeV3 mode,
add("cavern_graph_vocabulary_version",
"cavern graph vocabulary version is set without graph records");
}
else if(cavernGraphVocabularyVersion!=ResolvedLayoutCavernGraphVocabularyVersionV1)
else if(cavernGraphVocabularyVersion!=ResolvedLayoutCavernGraphVocabularyVersionV1
&&cavernGraphVocabularyVersion!=ResolvedLayoutCavernGraphVocabularyVersionV2)
add("cavern_graph_vocabulary_version",
"cavern graph records require vocabulary version 1");
if(cavernGraphVocabularyVersion!=0)
@@ -1271,6 +1278,16 @@ bool ResolvedLayoutSnapshotV3::validate(ResolvedLayoutValidationModeV3 mode,
||(room.irregularityAmplitudeMicrometres>0
&&room.irregularityWavelengthMicrometres<=0))
add("cavern_room_parameters",room.stableId+" has invalid or unbounded parameters");
const std::int64_t gradientSquared=static_cast<std::int64_t>(room.floorGradientQ16[0])
*room.floorGradientQ16[0]+static_cast<std::int64_t>(room.floorGradientQ16[1])
*room.floorGradientQ16[1];
if((room.floorProfileStableId.empty()
&&room.floorProfileDistanceMicrometres!=-1)
||(!room.floorProfileStableId.empty()
&&room.floorProfileDistanceMicrometres<0)
||gradientSquared>static_cast<std::int64_t>(13108)*13108)
add("cavern_room_floor_profile",room.stableId+
" has an invalid shared profile reference or floor grade");
const std::int64_t pad=room.smoothWidthMicrometres
+room.unionWidthMicrometres+room.irregularityAmplitudeMicrometres;
for(std::size_t axis=0;axis<3;++axis)
@@ -1311,6 +1328,15 @@ bool ResolvedLayoutSnapshotV3::validate(ResolvedLayoutValidationModeV3 mode,
||(edge.irregularityAmplitudeMicrometres>0
&&edge.irregularityWavelengthMicrometres<=0))
add("cavern_edge_parameters",edge.stableId+" has invalid or unbounded parameters");
const bool hasFloorProfile=!edge.floorProfileStableId.empty();
if((hasFloorProfile&&(edge.floorProfileStartDistanceMicrometres<0
||edge.floorProfileEndDistanceMicrometres<0
||edge.floorProfileStartDistanceMicrometres
==edge.floorProfileEndDistanceMicrometres))
||(!hasFloorProfile&&(edge.floorProfileStartDistanceMicrometres!=-1
||edge.floorProfileEndDistanceMicrometres!=-1)))
add("cavern_edge_floor_profile",edge.stableId+
" has an invalid shared profile distance interval");
std::array<std::int64_t,3> low=edge.controlPointsMicrometres[0];
std::array<std::int64_t,3> high=low;
if(nativeLattice&&!edge.polylineMicrometres.empty())
@@ -1366,6 +1392,114 @@ bool ResolvedLayoutSnapshotV3::validate(ResolvedLayoutValidationModeV3 mode,
add("cavern_edge_polyline",edge.stableId+
" has no bounded resolve-time polyline with matching endpoints");
}
std::vector<std::string> floorProfileIds;
for(const auto& edge:cavernEdges)
if(!edge.floorProfileStableId.empty()
&&std::find(floorProfileIds.begin(),floorProfileIds.end(),
edge.floorProfileStableId)==floorProfileIds.end())
floorProfileIds.push_back(edge.floorProfileStableId);
for(const std::string& profileId:floorProfileIds)
{
std::vector<const ResolvedCavernEdgeV1*> profileEdges;
for(const auto& edge:cavernEdges)
if(edge.floorProfileStableId==profileId)profileEdges.push_back(&edge);
std::sort(profileEdges.begin(),profileEdges.end(),[](const auto* a,const auto* b)
{
return std::min(a->floorProfileStartDistanceMicrometres,
a->floorProfileEndDistanceMicrometres)
<std::min(b->floorProfileStartDistanceMicrometres,
b->floorProfileEndDistanceMicrometres);
});
const auto endpointZ=[](const ResolvedCavernEdgeV1& edge,bool atMinimum)
{
const bool forward=edge.floorProfileStartDistanceMicrometres
<edge.floorProfileEndDistanceMicrometres;
const std::size_t point=(atMinimum==forward)?0:3;
return edge.controlPointsMicrometres[point][2];
};
const auto endpointSlope=[](const ResolvedCavernEdgeV1& edge,bool atMinimum)
{
const double span=static_cast<double>(edge.floorProfileEndDistanceMicrometres
-edge.floorProfileStartDistanceMicrometres);
if(span==0.0)return std::numeric_limits<double>::infinity();
const bool forward=edge.floorProfileStartDistanceMicrometres
<edge.floorProfileEndDistanceMicrometres;
const std::size_t control=atMinimum==forward?0:2;
return 3.0*(edge.controlPointsMicrometres[control+1][2]
-edge.controlPointsMicrometres[control][2])/span;
};
const ResolvedCavernEdgeV1* previous=nullptr;
for(const auto* edge:profileEdges)
{
const std::int64_t low=std::min(edge->floorProfileStartDistanceMicrometres,
edge->floorProfileEndDistanceMicrometres);
const std::int64_t high=std::max(edge->floorProfileStartDistanceMicrometres,
edge->floorProfileEndDistanceMicrometres);
const double slope0=endpointSlope(*edge,true);
const double slope1=endpointSlope(*edge,false);
if(std::max(std::abs(slope0),std::abs(slope1))>0.200001)
add("cavern_floor_profile_grade",edge->stableId+
" exceeds the shared backbone 1:5 grade limit");
if(previous)
{
const std::int64_t previousHigh=std::max(
previous->floorProfileStartDistanceMicrometres,
previous->floorProfileEndDistanceMicrometres);
if(low!=previousHigh
||std::abs(endpointZ(*previous,false)-endpointZ(*edge,true))>1000
||std::abs(endpointSlope(*previous,false)-slope0)>0.000001)
add("cavern_floor_profile_joint",profileId+
" has a gap, height step, or slope step between adjacent edges");
}
previous=edge;
(void)high;
}
for(const auto& room:cavernRooms)
{
if(room.floorProfileStableId!=profileId)continue;
const ResolvedCavernEdgeV1* containing=nullptr;
for(const auto* edge:profileEdges)
{
const auto low=std::min(edge->floorProfileStartDistanceMicrometres,
edge->floorProfileEndDistanceMicrometres);
const auto high=std::max(edge->floorProfileStartDistanceMicrometres,
edge->floorProfileEndDistanceMicrometres);
if(room.floorProfileDistanceMicrometres>=low
&&room.floorProfileDistanceMicrometres<=high)
{containing=edge;break;}
}
if(!containing)
{
add("cavern_room_floor_profile",room.stableId+
" does not lie on its referenced continuous floor profile");
continue;
}
const auto& edge=*containing;
const double t=static_cast<double>(room.floorProfileDistanceMicrometres
-edge.floorProfileStartDistanceMicrometres)
/(edge.floorProfileEndDistanceMicrometres
-edge.floorProfileStartDistanceMicrometres);
const double one=1.0-t;
const double expected=one*one*one*edge.controlPointsMicrometres[0][2]
+3.0*one*one*t*edge.controlPointsMicrometres[1][2]
+3.0*one*t*t*edge.controlPointsMicrometres[2][2]
+t*t*t*edge.controlPointsMicrometres[3][2];
std::array<double,2> routeXY{};
for(std::size_t axis=0;axis<2;++axis)
routeXY[axis]=one*one*one*edge.controlPointsMicrometres[0][axis]
+3.0*one*one*t*edge.controlPointsMicrometres[1][axis]
+3.0*one*t*t*edge.controlPointsMicrometres[2][axis]
+t*t*t*edge.controlPointsMicrometres[3][axis];
const double roomFloorAtProfile=room.floorMicrometres
+room.floorGradientQ16[0]/65536.0
*(routeXY[0]-room.centerMicrometres[0])
+room.floorGradientQ16[1]/65536.0
*(routeXY[1]-room.centerMicrometres[1]);
if(std::abs(expected-roomFloorAtProfile)>1000.0)
add("cavern_room_floor_profile",room.stableId+
" floor does not match its referenced h(s)");
}
}
}
if(oreVeins.empty())
{
@@ -1529,6 +1663,12 @@ std::optional<ResolvedLayoutSnapshotV3> ResolvedLayoutSnapshotV3::FromJson(
readTriplet("bounds_min_um",room.boundsMinimumMicrometres);
readTriplet("bounds_max_um",room.boundsMaximumMicrometres);
room.floorMicrometres=LayoutInt(v,"floor_um");
room.floorProfileStableId=LayoutString(v,"floor_profile_id");
if(v.Get("floor_profile_distance_um").IsNumber())
room.floorProfileDistanceMicrometres=LayoutInt(v,"floor_profile_distance_um");
const auto& floorGradient=v.Get("floor_gradient_q16").AsArray();
for(std::size_t axis=0;axis<2&&axis<floorGradient.size();++axis)
room.floorGradientQ16[axis]=static_cast<std::int32_t>(floorGradient[axis].Integer());
room.smoothWidthMicrometres=LayoutInt(v,"smooth_width_um");
room.unionWidthMicrometres=LayoutInt(v,"union_width_um");
room.irregularityAmplitudeMicrometres=LayoutInt(v,"irregularity_amplitude_um");
@@ -1542,6 +1682,13 @@ std::optional<ResolvedLayoutSnapshotV3> ResolvedLayoutSnapshotV3::FromJson(
edge.startAnchorStableId=LayoutString(v,"start_anchor_stable_id");
edge.endRoomStableId=LayoutString(v,"end_room_stable_id");
edge.strateIndex=static_cast<std::int32_t>(LayoutInt(v,"strate_index"));
edge.floorProfileStableId=LayoutString(v,"floor_profile_id");
if(v.Get("floor_profile_start_distance_um").IsNumber())
edge.floorProfileStartDistanceMicrometres=
LayoutInt(v,"floor_profile_start_distance_um");
if(v.Get("floor_profile_end_distance_um").IsNumber())
edge.floorProfileEndDistanceMicrometres=
LayoutInt(v,"floor_profile_end_distance_um");
const auto& points=v.Get("control_points_um").AsArray();
for(std::size_t i=0;i<edge.controlPointsMicrometres.size()&&i<points.size();++i)
{
@@ -1882,7 +2029,7 @@ bool ResolveResolvedCavernGraphV1(ResolvedLayoutSnapshotV3& layout,std::int32_t
if(!candidate.finalize(error))return false;
layout=std::move(candidate);return true;
}
candidate.cavernGraphVocabularyVersion=ResolvedLayoutCavernGraphVocabularyVersionV1;
candidate.cavernGraphVocabularyVersion=ResolvedLayoutCavernGraphVocabularyVersionV2;
candidate.cavernRooms.assign(rooms.begin(),rooms.end());
candidate.cavernEdges.assign(edges.begin(),edges.end());
const auto isNativeCavesStrate=[&candidate](std::int32_t strateIndex)
@@ -2034,6 +2181,537 @@ bool ResolveResolvedCavernGraphV1(ResolvedLayoutSnapshotV3& layout,std::int32_t
layout=std::move(candidate);return true;
}
bool PlanResolvedCavernNetworkV1(const ResolvedLayoutSnapshotV3& layout,
std::int32_t seed,std::int32_t strateIndex,
const ResolvedCavernPlannerSettingsV1& settings,
std::vector<ResolvedCavernRoomV1>& rooms,
std::vector<ResolvedCavernEdgeV1>& edges,std::string& error)
{
rooms.clear();edges.clear();error.clear();
const auto stratum=std::find_if(layout.strates.begin(),layout.strates.end(),
[strateIndex](const auto& value){return value.strateIndex==strateIndex;});
if(stratum==layout.strates.end()||!IsNativeCaveFieldStratum(*stratum))
{error="cavern planner target is not a resolved native cave stratum";return false;}
if(settings.roomSpacingMicrometres<=0
||settings.minimumRoomRadiusMicrometres<500000
||settings.maximumRoomRadiusMicrometres<settings.minimumRoomRadiusMicrometres
||settings.maximumRoomRadiusMicrometres>100000000
||settings.destinationRadiusMicrometres<settings.maximumRoomRadiusMicrometres
||settings.destinationRadiusMicrometres>100000000
||settings.floorSupportDepthMicrometres<250000
||settings.floorSupportDepthMicrometres>2000000
||settings.maximumTunnelLengthMicrometres<=0
||settings.minimumTunnelRadiusMicrometres<0
||settings.maximumTunnelRadiusMicrometres<settings.minimumTunnelRadiusMicrometres
||settings.smoothWidthMicrometres<0
||settings.smoothWidthMicrometres>10000000
||settings.irregularityAmplitudeMicrometres<0
||settings.irregularityAmplitudeMicrometres>10000000
||(settings.irregularityAmplitudeMicrometres>0
&&settings.irregularityWavelengthMicrometres<=0))
{error="cavern planner settings are outside the bounded room, tunnel or relief ranges";return false;}
const ResolvedLayoutPassageV1* arrivalPassage=nullptr;
const ResolvedLayoutPassageV1* departurePassage=nullptr;
for(const auto& passage:layout.passages)
{
if(passage.lowerStrateIndex==strateIndex&&passage.upperStrateIndex<strateIndex
&&(!arrivalPassage||passage.stableId<arrivalPassage->stableId))
arrivalPassage=&passage;
if(passage.upperStrateIndex==strateIndex&&passage.lowerStrateIndex>strateIndex
&&(!departurePassage||passage.stableId<departurePassage->stableId))
departurePassage=&passage;
}
if(!arrivalPassage||!departurePassage)
{error="cavern planner needs an incoming lower mouth and an outgoing upper mouth in the target strate";return false;}
if(layout.coreVoxelSizeMicrometres==0)
{error="cavern planner requires a nonzero Core voxel size";return false;}
using FPoint=std::array<std::int64_t,3>;
constexpr std::int64_t MicrometresPerMetre=1000000;
constexpr std::int64_t MinimumBoreRadius=1750000;
constexpr std::int64_t MinimumBoreHeight=2200000;
constexpr std::int64_t PlannedBoreHeight=4500000;
constexpr std::int64_t MouthOverlap=3000000;
constexpr std::int64_t MaximumBoreRadius=10000000;
constexpr std::int64_t MaximumWalkGradeDenominator=5; // 1:5 = 11.31 degrees.
const auto integerSqrt=[](std::uint64_t value)
{
std::uint64_t result=0;
std::uint64_t bit=std::uint64_t{1}<<62;
while(bit>value)bit>>=2;
while(bit!=0)
{
if(value>=result+bit)
{value-=result+bit;result=(result>>1)+bit;}
else result>>=1;
bit>>=2;
}
return result;
};
const auto distance2d=[&](const FPoint& a,const FPoint& b)
{
const std::int64_t dx=b[0]-a[0],dy=b[1]-a[1];
const auto squared=static_cast<std::uint64_t>(dx*dx+dy*dy);
return static_cast<std::int64_t>(integerSqrt(squared));
};
const auto qToMicrometres=[&](std::int64_t q)
{return q*static_cast<std::int64_t>(layout.coreVoxelSizeMicrometres)
/WorldAssemblySubvoxelsPerVoxel;};
const auto mouthInnerPoint=[&](const ResolvedLayoutPassageV1& passage,
bool lowerSide,FPoint& point)
{
for(std::size_t axis=0;axis<3;++axis)
point[axis]=qToMicrometres(lowerSide?passage.lowerMouthSubvoxels[axis]
:passage.upperMouthSubvoxels[axis]);
if(passage.controlPoints.size()<2)return false;
const std::size_t mouthIndex=lowerSide
?std::min(passage.lowerMouthControlIndex,passage.controlPoints.size()-1):0;
const std::size_t tangentIndex=lowerSide
?(mouthIndex>0?mouthIndex-1:1):1;
const std::int64_t tx=passage.controlPoints[mouthIndex].positionSubvoxels[0]
-passage.controlPoints[tangentIndex].positionSubvoxels[0];
const std::int64_t ty=passage.controlPoints[mouthIndex].positionSubvoxels[1]
-passage.controlPoints[tangentIndex].positionSubvoxels[1];
const auto tangentLength=static_cast<std::int64_t>(integerSqrt(
static_cast<std::uint64_t>(tx*tx+ty*ty)));
if(tangentLength<=0)return false;
point[0]+=tx*MouthOverlap/tangentLength;
point[1]+=ty*MouthOverlap/tangentLength;
return true;
};
FPoint routeStart{},routeEnd{};
if(!mouthInnerPoint(*arrivalPassage,true,routeStart)
||!mouthInnerPoint(*departurePassage,false,routeEnd))
{error="cavern passage mouth is missing a usable horizontal route tangent";return false;}
const std::int64_t dx=routeEnd[0]-routeStart[0];
const std::int64_t dy=routeEnd[1]-routeStart[1];
const std::int64_t dz=routeEnd[2]-routeStart[2];
const std::int64_t straightLength=distance2d(routeStart,routeEnd);
const std::int64_t horizontalBias=std::clamp<std::int64_t>(
settings.tunnelHorizontalBiasQ16,0,65536);
const std::int64_t planGradeDenominator=MaximumWalkGradeDenominator
+horizontalBias/32768;
const std::int64_t requiredLength=std::abs(dz)*planGradeDenominator+1000;
std::int64_t lateral=std::max<std::int64_t>(1000000,
std::max(settings.tunnelWarpMicrometres,settings.caveWarpMicrometres)/2);
const std::uint64_t routeHash=LayoutStampSeed(seed,strateIndex,
"tunnel-network/main-route");
if((routeHash&1u)!=0)lateral=-lateral;
std::int64_t pathAxisX=dx,pathAxisY=dy;
const auto makeRoute=[&](std::int64_t lateralOffset)
{
std::array<FPoint,4> points{};
points[0]=routeStart;points[3]=routeEnd;
std::int64_t axisX=dx,axisY=dy;
std::int64_t axisLength=straightLength;
if(axisLength<=0)
{
axisX=1;axisY=0;axisLength=1;
}
pathAxisX=axisX;pathAxisY=axisY;
const std::int64_t perpX=-axisY*lateralOffset/axisLength;
const std::int64_t perpY= axisX*lateralOffset/axisLength;
for(std::size_t axis=0;axis<3;++axis)
{
const std::int64_t delta=routeEnd[axis]-routeStart[axis];
points[1][axis]=routeStart[axis]+delta/3;
points[2][axis]=routeStart[axis]+(delta*2)/3;
}
points[1][0]+=perpX;points[1][1]+=perpY;
points[2][0]-=perpX;points[2][1]-=perpY;
return points;
};
const auto routeLength=[&](const std::array<FPoint,4>& points)
{
std::int64_t length=0;
for(std::size_t i=1;i<points.size();++i)length+=distance2d(points[i-1],points[i]);
return length;
};
auto routePoints=makeRoute(lateral);
for(int attempt=0;routeLength(routePoints)<requiredLength&&attempt<32;++attempt)
{
if(lateral>0)lateral=std::min<std::int64_t>(lateral*2,1000000000ll);
else lateral=std::max<std::int64_t>(lateral*2,-1000000000ll);
routePoints=makeRoute(lateral);
}
const std::int64_t totalRouteLength=routeLength(routePoints);
if(totalRouteLength<=0||totalRouteLength<requiredLength)
{error="cavern planner cannot fit the fixed mouth floor difference under the 1:5 grade budget";return false;}
std::array<std::int64_t,4> cumulative{};
for(std::size_t i=1;i<routePoints.size();++i)
cumulative[i]=cumulative[i-1]+distance2d(routePoints[i-1],routePoints[i]);
if(cumulative.back()!=totalRouteLength)
{error="cavern planner route length accounting failed";return false;}
const std::string backboneFloorProfileId="tunnel-network/strate-"
+std::to_string(strateIndex)+"/backbone-floor";
const auto routeFloorAt=[&](std::int64_t distance)
{
distance=std::clamp<std::int64_t>(distance,0,totalRouteLength);
return routeStart[2]+dz*distance/totalRouteLength;
};
const auto routeFloorGradientAt=[&](std::int64_t distance)
{
distance=std::clamp<std::int64_t>(distance,0,totalRouteLength);
std::size_t segment=1;
while(segment<cumulative.size()-1&&distance>cumulative[segment])++segment;
const auto unitTangent=[&](std::size_t index)
{
const double tx=static_cast<double>(routePoints[index][0]
-routePoints[index-1][0]);
const double ty=static_cast<double>(routePoints[index][1]
-routePoints[index-1][1]);
const double length=std::hypot(tx,ty);
return length>0.0?std::array<double,2>{tx/length,ty/length}
:std::array<double,2>{0.0,0.0};
};
auto tangent=unitTangent(segment);
if(segment+1<cumulative.size()&&distance==cumulative[segment])
{
const auto next=unitTangent(segment+1);
tangent[0]+=next[0];tangent[1]+=next[1];
const double length=std::hypot(tangent[0],tangent[1]);
if(length>1.0e-12){tangent[0]/=length;tangent[1]/=length;}
}
constexpr double Q16=65536.0;
const double profileSlope=static_cast<double>(dz)/totalRouteLength;
return std::array<std::int32_t,2>{
static_cast<std::int32_t>(std::llround(tangent[0]*profileSlope*Q16)),
static_cast<std::int32_t>(std::llround(tangent[1]*profileSlope*Q16))};
};
const auto pointAt=[&](std::int64_t distance)
{
distance=std::clamp<std::int64_t>(distance,0,totalRouteLength);
std::size_t segment=1;
while(segment<cumulative.size()-1&&distance>cumulative[segment])++segment;
const std::int64_t startDistance=cumulative[segment-1];
const std::int64_t segmentLength=std::max<std::int64_t>(1,
cumulative[segment]-startDistance);
const std::int64_t local=distance-startDistance;
FPoint point{};
for(std::size_t axis=0;axis<2;++axis)
{
const std::int64_t delta=routePoints[segment][axis]
-routePoints[segment-1][axis];
point[axis]=routePoints[segment-1][axis]+delta*local/segmentLength;
}
point[2]=routeFloorAt(distance);
return point;
};
std::int64_t spacing=std::min(std::max<std::int64_t>(settings.roomSpacingMicrometres,
4000000),settings.maximumTunnelLengthMicrometres);
spacing=std::max<std::int64_t>(4000000,spacing);
if(spacing>settings.maximumTunnelLengthMicrometres)
spacing=settings.maximumTunnelLengthMicrometres;
if(spacing<=0)
{error="cavern planner has no positive route spacing after applying tunnel length limits";return false;}
std::vector<std::int64_t> nodeDistances;
for(std::size_t leg=1;leg<routePoints.size();++leg)
{
const std::int64_t legStart=cumulative[leg-1];
const std::int64_t legLength=cumulative[leg]-legStart;
const std::int64_t segments=std::max<std::int64_t>(1,
(legLength+spacing-1)/spacing);
if(segments>256)
{error="cavern planner would exceed the 256-node bounded backbone";return false;}
for(std::int64_t part=1;part<=segments;++part)
{
const std::int64_t distance=legStart+legLength*part/segments;
if(distance>0&&distance<totalRouteLength)nodeDistances.push_back(distance);
}
}
nodeDistances.push_back(totalRouteLength/2);
std::sort(nodeDistances.begin(),nodeDistances.end());
nodeDistances.erase(std::unique(nodeDistances.begin(),nodeDistances.end()),nodeDistances.end());
if(nodeDistances.empty())nodeDistances.push_back(totalRouteLength/2);
if(nodeDistances.size()>256)
{error="cavern planner would exceed the 256-node bounded backbone";return false;}
const auto clampQ16=[](std::int32_t value)
{return std::clamp<std::int64_t>(value,0,65536);};
const std::int64_t smooth=std::clamp<std::int64_t>(
std::max<std::int64_t>(1500000,settings.smoothWidthMicrometres),
50000,10000000);
const std::int64_t irregularity=std::clamp<std::int64_t>(
settings.irregularityAmplitudeMicrometres,0,500000);
const std::int64_t routeBoreRadius=std::clamp<std::int64_t>(
std::max(MinimumBoreRadius,settings.minimumTunnelRadiusMicrometres),
MinimumBoreRadius,MaximumBoreRadius);
const std::int64_t maximumRouteBoreRadius=std::clamp<std::int64_t>(
std::max(routeBoreRadius,settings.maximumTunnelRadiusMicrometres),
routeBoreRadius,MaximumBoreRadius);
const auto selectedBoreRadius=[&](const std::string& stableId)
{
const std::uint64_t span=static_cast<std::uint64_t>(
maximumRouteBoreRadius-routeBoreRadius);
return routeBoreRadius+(span==0?0:static_cast<std::int64_t>(
LayoutStampSeed(seed,strateIndex,stableId)%(span+1)));
};
const auto passageBoreRadius=[&](const ResolvedLayoutPassageV1& passage,bool lowerSide)
{
std::int64_t radius=qToMicrometres(passage.mouthRadiusSubvoxels);
if(!passage.controlPoints.empty())
{
const auto control=lowerSide?std::min(passage.lowerMouthControlIndex,
passage.controlPoints.size()-1):std::size_t{0};
radius=std::max(radius,qToMicrometres(passage.controlPoints[control].radiusSubvoxels));
}
return std::clamp<std::int64_t>(std::max(routeBoreRadius,radius),
routeBoreRadius,MaximumBoreRadius);
};
const auto fractional=[](std::int64_t value,std::int64_t q16)
{return value*std::clamp<std::int64_t>(q16,0,65536)/65536;};
struct FRoomNode
{
std::string id;
FPoint point{};
std::string floorProfileStableId;
std::int64_t floorProfileDistanceMicrometres=-1;
std::array<std::int32_t,2> floorGradientQ16{};
std::int64_t radiusMicrometres=0;
bool destination=false;
};
std::vector<FRoomNode> nodes;nodes.reserve(nodeDistances.size());
const std::int64_t floorCutMinimum=clampQ16(settings.roomFloorCutMinimumQ16);
const std::int64_t floorCutMaximum=std::max(floorCutMinimum,
clampQ16(settings.roomFloorCutMaximumQ16));
const std::int64_t floorRange=floorCutMaximum-floorCutMinimum;
const std::int64_t heightRatio=std::clamp<std::int64_t>(
settings.roomHeightRatioQ16,6554,65536);
const std::int64_t baseRoomSpan=settings.maximumRoomRadiusMicrometres
-settings.minimumRoomRadiusMicrometres;
const std::int64_t mainRouteMidpoint=totalRouteLength/2;
for(std::size_t nodeIndex=0;nodeIndex<nodeDistances.size();++nodeIndex)
{
const std::int64_t distance=nodeDistances[nodeIndex];
FRoomNode node;node.point=pointAt(distance);
node.floorProfileStableId=backboneFloorProfileId;
node.floorProfileDistanceMicrometres=distance;
node.floorGradientQ16=routeFloorGradientAt(distance);
node.destination=distance==mainRouteMidpoint;
node.id="tunnel-network/strate-"+std::to_string(strateIndex)+"/room-"
+std::to_string(nodeIndex);
const std::uint64_t hash=LayoutStampSeed(seed,strateIndex,node.id);
node.radiusMicrometres=node.destination?settings.destinationRadiusMicrometres
:settings.minimumRoomRadiusMicrometres
+static_cast<std::int64_t>(hash%static_cast<std::uint64_t>(baseRoomSpan+1));
nodes.push_back(std::move(node));
}
const auto makeCompound=[&](const FRoomNode& node,bool destination,
std::vector<ResolvedCavernRoomV1>& outRooms)
{
const std::uint64_t hash=LayoutStampSeed(seed,strateIndex,node.id+"/compound");
const std::int64_t variety=clampQ16(settings.roomShapeVarietyQ16);
const std::size_t additionalPrimitiveCount=static_cast<std::size_t>(
variety*2/65536);
const std::size_t primitiveCount=2+static_cast<std::size_t>(
hash%(additionalPrimitiveCount+1));
std::uint64_t state=hash;
const std::int64_t radius=node.radiusMicrometres;
const std::int64_t floorCutBase=clampQ16(settings.roomFloorCutMinimumQ16);
const std::int64_t componentCount=static_cast<std::int64_t>(primitiveCount);
for(std::int64_t component=0;component<componentCount;++component)
{
const std::string stableId=node.id+"/primitive-"+std::to_string(component);
const std::uint64_t componentHash=LayoutStampNext(state);
const std::int64_t componentScaleQ16=component==0?65536
:42000+static_cast<std::int64_t>(componentHash%22001);
const std::int64_t componentRadius=std::max<std::int64_t>(500000,
fractional(radius,componentScaleQ16));
const std::int64_t axisScaleQ16=component==0?65536
:47000+static_cast<std::int64_t>((componentHash>>8)%19001);
const bool swapAxes=((componentHash>>24)&1u)!=0;
const std::int64_t halfX=swapAxes?fractional(componentRadius,axisScaleQ16)
:componentRadius;
const std::int64_t halfY=swapAxes?componentRadius
:fractional(componentRadius,axisScaleQ16);
const std::int64_t halfZ=std::max<std::int64_t>(500000,
fractional(componentRadius,heightRatio));
const std::int64_t floorCut=floorCutBase
+(floorRange==0?0:static_cast<std::int64_t>(componentHash%(
static_cast<std::uint64_t>(floorRange+1))));
const std::int64_t offsetMagnitude=component==0?0
:fractional(radius,12000+static_cast<std::int64_t>(componentHash%11001));
const std::int64_t routeLengthXY=std::max<std::int64_t>(1,
static_cast<std::int64_t>(integerSqrt(static_cast<std::uint64_t>(
pathAxisX*pathAxisX+pathAxisY*pathAxisY))));
const std::int64_t centerOffset=(component%2==0?1:-1)*offsetMagnitude;
ResolvedCavernRoomV1 room;room.stableId=stableId;
room.strateIndex=strateIndex;
room.floorProfileStableId=node.floorProfileStableId;
room.floorProfileDistanceMicrometres=node.floorProfileDistanceMicrometres;
room.floorGradientQ16=node.floorGradientQ16;
room.halfExtentsMicrometres={halfX,halfY,halfZ};
room.centerMicrometres={node.point[0]+(-pathAxisY)*centerOffset/routeLengthXY,
node.point[1]+pathAxisX*centerOffset/routeLengthXY,
node.point[2]+fractional(halfZ,floorCut)};
if(component>0)
{
const std::int64_t headroom=std::max<std::int64_t>(0,
halfZ-fractional(halfZ,floorCut));
const std::int64_t jitterRange=std::min(headroom,halfZ/5);
const std::int64_t ceilingJitter=jitterRange>0
?static_cast<std::int64_t>((componentHash>>32)
%static_cast<std::uint64_t>(jitterRange+1)):0;
room.centerMicrometres[2]+=ceilingJitter;
}
room.floorMicrometres=node.point[2]
-(static_cast<std::int64_t>(room.floorGradientQ16[0])
*(room.centerMicrometres[0]-node.point[0])
+static_cast<std::int64_t>(room.floorGradientQ16[1])
*(room.centerMicrometres[1]-node.point[1]))/65536;
room.smoothWidthMicrometres=smooth;
room.irregularityAmplitudeMicrometres=irregularity;
room.irregularityWavelengthMicrometres=settings.irregularityWavelengthMicrometres;
outRooms.push_back(std::move(room));
}
(void)destination;
};
for(const auto& node:nodes)makeCompound(node,node.destination,rooms);
const auto componentRoomId=[](const FRoomNode& node)
{return node.id+"/primitive-0";};
const auto makeEdge=[&](std::string id,std::string startAnchor,
const FPoint& start,const FRoomNode& endNode,std::int64_t boreRadius,
std::int64_t profileStartDistance,std::int64_t profileEndDistance)
{
ResolvedCavernEdgeV1 edge;edge.stableId=std::move(id);
edge.startAnchorStableId=std::move(startAnchor);
edge.endRoomStableId=componentRoomId(endNode);edge.strateIndex=strateIndex;
edge.boreRadiusMicrometres=boreRadius;
edge.boreHeightMicrometres=std::max(PlannedBoreHeight,MinimumBoreHeight);
edge.floorSupportDepthMicrometres=settings.floorSupportDepthMicrometres;
if(profileStartDistance>=0&&profileEndDistance>=0)
{
edge.floorProfileStableId=backboneFloorProfileId;
edge.floorProfileStartDistanceMicrometres=profileStartDistance;
edge.floorProfileEndDistanceMicrometres=profileEndDistance;
}
edge.smoothWidthMicrometres=smooth;
edge.irregularityAmplitudeMicrometres=irregularity;
edge.irregularityWavelengthMicrometres=settings.irregularityWavelengthMicrometres;
const FPoint end={endNode.point[0],endNode.point[1],endNode.point[2]};
for(std::size_t axis=0;axis<3;++axis)
{
const std::int64_t delta=end[axis]-start[axis];
edge.controlPointsMicrometres[0][axis]=start[axis];
edge.controlPointsMicrometres[1][axis]=start[axis]+delta/3;
edge.controlPointsMicrometres[2][axis]=start[axis]+(delta*2)/3;
edge.controlPointsMicrometres[3][axis]=end[axis];
}
if(profileStartDistance>=0&&profileEndDistance>=0)
{
const std::int64_t floorStart=routeFloorAt(profileStartDistance);
const std::int64_t floorEnd=routeFloorAt(profileEndDistance);
const std::int64_t floorDelta=floorEnd-floorStart;
edge.controlPointsMicrometres[0][2]=floorStart;
edge.controlPointsMicrometres[1][2]=floorStart+floorDelta/3;
edge.controlPointsMicrometres[2][2]=floorStart+(floorDelta*2)/3;
edge.controlPointsMicrometres[3][2]=floorEnd;
}
return edge;
};
const auto arrivalPoint=routeStart;
FPoint previousPoint=arrivalPoint;
std::int64_t previousProfileDistance=0;
std::string previousAnchor=arrivalPassage->stableId+"/lower-mouth";
for(std::size_t nodeIndex=0;nodeIndex<nodes.size();++nodeIndex)
{
const auto& node=nodes[nodeIndex];
const bool portal=nodeIndex==0;
const std::string edgeId="tunnel-network/strate-"+std::to_string(strateIndex)
+"/route-edge-"+std::to_string(nodeIndex);
edges.push_back(makeEdge(edgeId,previousAnchor,previousPoint,node,
portal?passageBoreRadius(*arrivalPassage,true):selectedBoreRadius(edgeId),
previousProfileDistance,node.floorProfileDistanceMicrometres));
previousPoint={node.point[0],node.point[1],node.point[2]};
previousProfileDistance=node.floorProfileDistanceMicrometres;
previousAnchor=componentRoomId(node);
}
if(!nodes.empty())
{
const std::string departureEdgeId="tunnel-network/strate-"
+std::to_string(strateIndex)+"/departure-edge";
edges.push_back(makeEdge(departureEdgeId,departurePassage->stableId+"/upper-mouth",
routeEnd,nodes.back(),passageBoreRadius(*departurePassage,false),
totalRouteLength,nodes.back().floorProfileDistanceMicrometres));
}
const std::int64_t roomDensity=clampQ16(settings.roomDensityQ16);
const std::int64_t tunnelDensity=clampQ16(settings.tunnelDensityQ16);
const std::int64_t branchThreshold=roomDensity*tunnelDensity/65536;
const std::size_t branchLimit=settings.originRoomMaximumConnections<=0
?32u:static_cast<std::size_t>(std::clamp(settings.originRoomMaximumConnections,0,32));
std::size_t branchCount=0;
for(std::size_t nodeIndex=1;nodeIndex+1<nodes.size()
&&branchCount<branchLimit&&rooms.size()<2048;++nodeIndex)
{
const auto& parent=nodes[nodeIndex];
const std::uint64_t branchHash=LayoutStampSeed(seed,strateIndex,
parent.id+"/side-branch");
if(static_cast<std::int64_t>(branchHash&0xffffu)>=branchThreshold)continue;
const std::int64_t branchLength=std::max<std::int64_t>(
routeBoreRadius*3,std::min(spacing/2,settings.maximumTunnelLengthMicrometres/2));
const std::int64_t direction=(branchHash&0x10000u)?1:-1;
FRoomNode branch;branch.id=parent.id+"/side-"+std::to_string(branchCount);
branch.radiusMicrometres=settings.minimumRoomRadiusMicrometres
+static_cast<std::int64_t>((branchHash>>17)
%static_cast<std::uint64_t>(baseRoomSpan+1));
const std::int64_t pathAxisLength=std::max<std::int64_t>(1,
static_cast<std::int64_t>(integerSqrt(static_cast<std::uint64_t>(
pathAxisX*pathAxisX+pathAxisY*pathAxisY))));
branch.point={parent.point[0]+(-pathAxisY)*branchLength/pathAxisLength*direction,
parent.point[1]+pathAxisX*branchLength/pathAxisLength*direction,
parent.point[2]};
branch.floorProfileStableId=parent.floorProfileStableId;
branch.floorProfileDistanceMicrometres=parent.floorProfileDistanceMicrometres;
branch.floorGradientQ16=parent.floorGradientQ16;
makeCompound(branch,false,rooms);
const std::string branchEdgeId="tunnel-network/strate-"
+std::to_string(strateIndex)+"/side-edge-"+std::to_string(branchCount);
ResolvedCavernEdgeV1 branchEdge;
if(settings.tunnelsFlowTowardOrigin)
branchEdge=makeEdge(branchEdgeId,componentRoomId(branch),
branch.point,parent,selectedBoreRadius(branchEdgeId),-1,-1);
else
branchEdge=makeEdge(branchEdgeId,componentRoomId(parent),
parent.point,branch,selectedBoreRadius(branchEdgeId),-1,-1);
// Side branches retain their cave floor SDF, but they do not cap the
// descending backbone when their tubes overlap it near a junction.
branchEdge.floorSupportDepthMicrometres=0;
edges.push_back(std::move(branchEdge));
++branchCount;
}
if(nodes.empty()||rooms.empty()||edges.empty())
{error="cavern planner emitted an empty arrival-to-departure graph";return false;}
double maximumGradeDegrees=0.0;
for(const auto& edge:edges)
{
const auto& a=edge.controlPointsMicrometres.front();
const auto& b=edge.controlPointsMicrometres.back();
const std::int64_t run=static_cast<std::int64_t>(integerSqrt(
static_cast<std::uint64_t>((b[0]-a[0])*(b[0]-a[0])
+(b[1]-a[1])*(b[1]-a[1]))));
const std::int64_t rise=std::abs(b[2]-a[2]);
if(run<=0&&rise>0)
{error="cavern planner produced a vertical route edge with no walking run";return false;}
if(run>0&&rise*MaximumWalkGradeDenominator>run)
{error="cavern planner emitted an edge beyond its 1:5 route grade budget";return false;}
if(run>0)maximumGradeDegrees=std::max(maximumGradeDegrees,
std::atan2(static_cast<double>(rise),static_cast<double>(run))
*180.0/3.14159265358979323846);
}
std::printf("[CavernPlannerV1] strate=%d seed=%d mouths=%s->%s route_nodes=%zu room_primitives=%zu edges=%zu branches=%zu route_horizontal_m=%.3f floor_delta_m=%.3f max_grade_deg=%.3f grade_limit_deg=11.310 clearance_radius_m=%.3f clearance_height_m=%.3f destination_radius_m=%.3f status=PASS\n",
strateIndex,seed,arrivalPassage->stableId.c_str(),departurePassage->stableId.c_str(),
nodes.size(),rooms.size(),edges.size(),branchCount,totalRouteLength/1.0e6,
std::abs(dz)/1.0e6,maximumGradeDegrees,routeBoreRadius/1.0e6,PlannedBoreHeight/1.0e6,
settings.destinationRadiusMicrometres/1.0e6);
return true;
}
bool ResolveResolvedLayoutOreVeinsV1(ResolvedLayoutSnapshotV3& layout,std::int32_t seed,
std::span<const ResolvedLayoutOreVeinRequestV1> requests,std::string& error)
{
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+83 -149
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@@ -1284,103 +1284,104 @@ namespace VoxelForgeCore
constexpr double Q=static_cast<double>(WorldAssemblySubvoxelsPerVoxel);
const double voxelsPerMetre=coreVoxelSizeMicrons>0
?1000000.0/coreVoxelSizeMicrons:4.0;
const double bridgeHalfWidthVoxels=3.5*voxelsPerMetre;
const double bridgeFootDepthVoxels=(5.0-0.13)*voxelsPerMetre;
constexpr double WallReliefMetres=0.21;
constexpr double ShellThicknessMetres=0.75;
const double tubeExtentMetres=(WallReliefMetres+ShellThicknessMetres)
*voxelsPerMetre;
const double qPerMetre=Q*voxelsPerMetre;
const double tileMinimum[3]={static_cast<double>(minimum.X),
static_cast<double>(minimum.Y),static_cast<double>(minimum.Z)};
const double tileMaximum[3]={static_cast<double>(maximum.X),
static_cast<double>(maximum.Y),static_cast<double>(maximum.Z)};
for(const auto& passage:layout.passages)
{
if(passage.controlPoints.size()<2)continue;
const std::size_t routeEnd=std::clamp<std::size_t>(
passage.lowerMouthControlIndex,1,passage.controlPoints.size()-1);
std::vector<double> routeDistanceMetres(routeEnd+1,0.0);
for(std::size_t pointIndex=1;pointIndex<=routeEnd;++pointIndex)
{
const auto& a=passage.controlPoints[pointIndex-1].positionSubvoxels;
const auto& b=passage.controlPoints[pointIndex].positionSubvoxels;
const double dx=static_cast<double>(b[0]-a[0])/qPerMetre;
const double dy=static_cast<double>(b[1]-a[1])/qPerMetre;
const double dz=static_cast<double>(b[2]-a[2])/qPerMetre;
routeDistanceMetres[pointIndex]=routeDistanceMetres[pointIndex-1]
+std::sqrt(dx*dx+dy*dy+dz*dz);
}
const double totalRouteMetres=routeDistanceMetres[routeEnd];
double minimumRadiusMetres=std::numeric_limits<double>::infinity();
double minimumBodyRadiusMetres=minimumRadiusMetres;
for(std::size_t pointIndex=0;pointIndex<=routeEnd;++pointIndex)
{
const double radius=static_cast<double>(
passage.controlPoints[pointIndex].radiusSubvoxels)/qPerMetre;
minimumRadiusMetres=std::min(minimumRadiusMetres,radius);
if(routeDistanceMetres[pointIndex]>=10.0
&&totalRouteMetres-routeDistanceMetres[pointIndex]>=10.0)
minimumBodyRadiusMetres=std::min(minimumBodyRadiusMetres,radius);
}
if(!std::isfinite(minimumBodyRadiusMetres))
minimumBodyRadiusMetres=minimumRadiusMetres;
const double bodyFloorDepthMetres=std::max(0.5,
minimumBodyRadiusMetres-0.23);
const double upperMouthDepthMetres=std::max(0.0,
static_cast<double>(passage.controlPoints.front().positionSubvoxels[2]
-passage.upperMouthSubvoxels[2])/qPerMetre+0.90);
const double lowerMouthDepthMetres=std::max(0.0,
static_cast<double>(passage.controlPoints[routeEnd].positionSubvoxels[2]
-passage.lowerMouthSubvoxels[2])/qPerMetre+0.90);
const auto routeFloorDepth=[&](double alongMetres,double radiusMetres)
{
const double localRadiusDepth=std::max(0.0,radiusMetres-0.23);
const double mouthDistance=std::max(0.0,std::min(alongMetres,
totalRouteMetres-alongMetres));
const double linear=std::clamp(mouthDistance/5.0,0.0,1.0);
const double ramp=linear*linear*(3.0-2.0*linear);
const double target=alongMetres<=totalRouteMetres*0.5
?upperMouthDepthMetres:lowerMouthDepthMetres;
return std::lerp(std::clamp(target,0.0,localRadiusDepth),
localRadiusDepth,ramp);
};
std::vector<double> effectiveCenterZVoxels(
passage.controlPoints.size(),0.0);
for(std::size_t pointIndex=0;pointIndex<passage.controlPoints.size();
++pointIndex)
{
const std::size_t radiusIndex=std::min(pointIndex,routeEnd);
const double radius=static_cast<double>(
passage.controlPoints[radiusIndex].radiusSubvoxels)/qPerMetre;
const double localTubeDepth=std::min(bodyFloorDepthMetres,
std::max(0.0,radius-0.23));
const double routeDepth=pointIndex<=routeEnd
?routeFloorDepth(routeDistanceMetres[pointIndex],radius)
:std::max(0.0,radius-0.23);
effectiveCenterZVoxels[pointIndex]=
static_cast<double>(passage.controlPoints[pointIndex]
.positionSubvoxels[2])/Q
+(-routeDepth+localTubeDepth)*voxelsPerMetre;
}
for(std::size_t segment=1;segment<passage.controlPoints.size();++segment)
{
const auto& a=passage.controlPoints[segment-1];
const auto& b=passage.controlPoints[segment];
const double radius=static_cast<double>(std::max(
a.radiusSubvoxels,b.radiusSubvoxels))/Q;
const double horizontalExtent=std::max(radius,bridgeHalfWidthVoxels);
const double low[3]={
std::min(a.positionSubvoxels[0],b.positionSubvoxels[0])/Q-horizontalExtent,
std::min(a.positionSubvoxels[1],b.positionSubvoxels[1])/Q-horizontalExtent,
std::min(a.positionSubvoxels[2],b.positionSubvoxels[2])/Q-radius
-bridgeFootDepthVoxels};
const double high[3]={
std::max(a.positionSubvoxels[0],b.positionSubvoxels[0])/Q+horizontalExtent,
std::max(a.positionSubvoxels[1],b.positionSubvoxels[1])/Q+horizontalExtent,
std::max(a.positionSubvoxels[2],b.positionSubvoxels[2])/Q+radius};
const double extent=std::max(static_cast<double>(a.radiusSubvoxels),
static_cast<double>(b.radiusSubvoxels))/Q+tubeExtentMetres;
double low[3]{},high[3]{};
for(int axis=0;axis<3;++axis)
{
const double aPosition=axis==2?effectiveCenterZVoxels[segment-1]
:static_cast<double>(a.positionSubvoxels[axis])/Q;
const double bPosition=axis==2?effectiveCenterZVoxels[segment]
:static_cast<double>(b.positionSubvoxels[axis])/Q;
low[axis]=std::min(aPosition,bPosition)-extent;
high[axis]=std::max(aPosition,bPosition)+extent;
}
bool overlap=true;
for(int axis=0;axis<3;++axis)
overlap&=high[axis]>=tileMinimum[axis]&&low[axis]<=tileMaximum[axis];
if(overlap)return true;
}
// L27 can add a long support column around an unsupported passage span. Its
// radius can exceed the route and bridge bounds above by the column wall and
// flare allowance. The precompile shape-free proof runs before that crossing
// plan exists, so conservatively bound every possible column from the resolved
// route itself. The center is either the passage anchor or an average of route
// samples; in the latter case it lies inside the route's XY bounds.
if(passage.controlPoints.size()>=2)
{
double routeMinimum[3]={std::numeric_limits<double>::infinity(),
std::numeric_limits<double>::infinity(),
std::numeric_limits<double>::infinity()};
double routeMaximum[3]={-std::numeric_limits<double>::infinity(),
-std::numeric_limits<double>::infinity(),
-std::numeric_limits<double>::infinity()};
double maximumBoreRadius=0.0;
for(const auto& point:passage.controlPoints)
{
for(int axis=0;axis<3;++axis)
{
const double value=static_cast<double>(point.positionSubvoxels[axis])/Q;
routeMinimum[axis]=std::min(routeMinimum[axis],value);
routeMaximum[axis]=std::max(routeMaximum[axis],value);
}
maximumBoreRadius=std::max(maximumBoreRadius,
static_cast<double>(point.radiusSubvoxels)/Q);
}
double centerMinimumX=routeMinimum[0],centerMaximumX=routeMaximum[0];
double centerMinimumY=routeMinimum[1],centerMaximumY=routeMaximum[1];
double maximumRouteOffset=std::hypot(
routeMaximum[0]-routeMinimum[0],routeMaximum[1]-routeMinimum[1]);
const auto upper=std::find_if(layout.strates.begin(),layout.strates.end(),
[&passage](const auto& stratum)
{return stratum.strateIndex==passage.upperStrateIndex;});
if(upper!=layout.strates.end()
&&upper->passageCapabilities.usePassageAnchorForColumns)
{
const auto anchor=std::find_if(upper->anchors.begin(),upper->anchors.end(),
[](const auto& value)
{return value.kind=="passage_anchor"&&value.values.size()>=2;});
if(anchor!=upper->anchors.end())
{
const double centerX=static_cast<double>(anchor->values[0])/Q;
const double centerY=static_cast<double>(anchor->values[1])/Q;
centerMinimumX=centerMaximumX=centerX;
centerMinimumY=centerMaximumY=centerY;
maximumRouteOffset=0.0;
for(const auto& point:passage.controlPoints)
maximumRouteOffset=std::max(maximumRouteOffset,std::hypot(
static_cast<double>(point.positionSubvoxels[0])/Q-centerX,
static_cast<double>(point.positionSubvoxels[1])/Q-centerY));
}
}
// The generated maximum column radius is the route offset, bore radius,
// and 13.25 m of wall/irregularity/flare allowance.
const double columnRadius=maximumRouteOffset+maximumBoreRadius
+13.25*voxelsPerMetre;
const double columnMinimum[3]={centerMinimumX-columnRadius,
centerMinimumY-columnRadius,routeMinimum[2]-6.0*voxelsPerMetre};
const double columnMaximum[3]={centerMaximumX+columnRadius,
centerMaximumY+columnRadius,routeMaximum[2]+5.0*voxelsPerMetre};
bool overlap=true;
for(int axis=0;axis<3;++axis)
overlap=overlap&&columnMaximum[axis]>=tileMinimum[axis]
&&columnMinimum[axis]<=tileMaximum[axis];
if(overlap)return true;
}
}
return false;
}
@@ -1866,44 +1867,6 @@ namespace VoxelForgeCore
static_cast<double>(weighted)/65535.0*sampleVolume});
return result;
}
std::vector<PassageVoidCrossingAuditV1> World::passageVoidCrossings() const
{
std::vector<PassageVoidCrossingAuditV1> result;
if(!impl_||!impl_->shapeReady.load(std::memory_order_acquire)||!impl_->shape)return result;
const auto& crossings=impl_->shape->GetPassageVoidCrossings();
result.reserve(crossings.size());
for(const auto& crossing:crossings)
{
PassageVoidCrossingAuditV1 value;
value.passageIndex=crossing.passageIndex;value.firstSegment=crossing.firstSegment;
value.lastSegment=crossing.lastSegment;value.unsupportedSamples=crossing.unsupportedSamples;
value.unsupportedLengthMetres=crossing.unsupportedLengthMetres;
value.startPointSubvoxels=crossing.startPoint;value.endPointSubvoxels=crossing.endPoint;
value.needsColumn=crossing.needsColumn;
value.connectedAtStart=crossing.connectedAtStart;
value.connectedAtEnd=crossing.connectedAtEnd;
value.columnAxisSubvoxels={crossing.centerXSubvoxels,crossing.centerYSubvoxels};
value.columnTopZSubvoxels=crossing.topZSubvoxels;
value.columnBottomZSubvoxels=crossing.bottomZSubvoxels;
value.columnMinimumRadiusSubvoxels=crossing.minimumRadiusSubvoxels;
value.columnNominalRadiusSubvoxels=crossing.nominalRadiusSubvoxels;
value.columnMaximumRadiusSubvoxels=crossing.maximumRadiusSubvoxels;
value.maximumRouteOffsetMetres=crossing.maximumRouteOffsetMetres;
value.maximumBoreRadiusMetres=crossing.maximumBoreRadiusMetres;
result.push_back(value);
}
return result;
}
bool World::isPassageColumnSample(std::size_t passageIndex,std::size_t segmentIndex,
Vec3d position) const
{return impl_&&impl_->shapeReady.load(std::memory_order_acquire)&&impl_->shape
&&impl_->shape->IsResolvedPassageColumnSample(passageIndex,segmentIndex,
{position.x,position.y,position.z});}
bool World::isPassageShortSpanSample(std::size_t passageIndex,std::size_t segmentIndex,
Vec3d position) const
{return impl_&&impl_->shapeReady.load(std::memory_order_acquire)&&impl_->shape
&&impl_->shape->IsResolvedPassageShortSpanSample(passageIndex,segmentIndex,
{position.x,position.y,position.z});}
std::string World::densityDispatchPathAt(Vec3d position) const
{ return impl_&&impl_->shapeReady.load(std::memory_order_acquire)&&impl_->shape
?impl_->shape->DensityDispatchPathAt(static_cast<float>(position.x),static_cast<float>(position.y),static_cast<float>(position.z))
@@ -2672,30 +2635,6 @@ namespace VoxelForgeCore
RelevantMinimum=std::min(RelevantMinimum,FeatureMinimum);
RelevantMaximum=std::max(RelevantMaximum,FeatureMaximum);
}
// A resolved passage void column can add solid support above or
// below the native heightfield's local Z range. Its finite radial
// and vertical bounds must participate before the mesh band is clipped.
for(const auto& Crossing:tileShape.GetPassageVoidCrossings())
{
if(!Crossing.needsColumn||Crossing.maximumRadiusSubvoxels<=0
||Crossing.topZSubvoxels<=Crossing.bottomZSubvoxels)continue;
const double Radius=static_cast<double>(Crossing.maximumRadiusSubvoxels)
/static_cast<double>(SubvoxelScale);
const double CenterX=static_cast<double>(Crossing.centerXSubvoxels)
/static_cast<double>(SubvoxelScale);
const double CenterY=static_cast<double>(Crossing.centerYSubvoxels)
/static_cast<double>(SubvoxelScale);
if(CenterX+Radius<TileMinimum[0]/static_cast<double>(SubvoxelScale)
||CenterX-Radius>TileMaximum[0]/static_cast<double>(SubvoxelScale)
||CenterY+Radius<TileMinimum[1]/static_cast<double>(SubvoxelScale)
||CenterY-Radius>TileMaximum[1]/static_cast<double>(SubvoxelScale))continue;
RelevantMinimum=std::min(RelevantMinimum,
static_cast<double>(Crossing.bottomZSubvoxels)
/static_cast<double>(SubvoxelScale));
RelevantMaximum=std::max(RelevantMaximum,
static_cast<double>(Crossing.topZSubvoxels)
/static_cast<double>(SubvoxelScale));
}
// The native heightfield band only covers the owner terrain and its
// manifest features. Resolved SDF stamps can carve below that band or
// add a floor there, so include every overlapping stamp's bounded Z
@@ -2804,7 +2743,6 @@ namespace VoxelForgeCore
FStandaloneShapeWorld::FScopedPassageTileQueries passageFeatureScope(
tileShape,queryMinimum,queryMaximum,
options.profilePassageComposer?&out.diagnostics:nullptr,key.lod,
options.diagnosticPassageSourceFloorVoxels,
options.diagnosticPassageCarveReachMetres);
passageFeatureScope.prepareSweptTubeBase(origin,MeshStep,MeshCells,
static_cast<std::uint32_t>(world.Seed));
@@ -2904,10 +2842,6 @@ namespace VoxelForgeCore
{
out.diagnostics.passageTileRouteSegmentCandidates=
passageFeatureScope.routeSegmentCandidateCount();
for(std::size_t passageIndex=0;
passageIndex<impl_->resolvedLayout->passages.size();++passageIndex)
out.diagnostics.passageTileMouthSegmentCandidates+=
passageFeatureScope.mouthSupportSegments(passageIndex).size();
}
}
FGridFillWorkerContext GridFillWorkerContext;
@@ -0,0 +1,60 @@
# VoxelForge — read-only design review: stamp tunnels along the curve instead of searching the curve per sample
You are reviewing a design idea against real code. **Do not edit, create or delete any file, and do not build or run
anything.** Read code and reason. Be thorough; mark each claim as [CODE] (with file:line), [MEASURED] (from a report),
or [INFERENCE].
## Context
VoxelForge Core (`Standalone/Core`) generates a density field: negative = solid, positive = air, 25 cm voxels, 32³ tiles,
LOD0–8 clipmap, marching cubes. Same seed must give the same world on every machine and worker count; byte-identity with
older versions is NOT required.
Inter-strate tunnels ("passages") on branch `wip/l111-halfpipe-spline` (HEAD `707bc61`) are a smooth spline swept tube:
- a D-shaped walkable floor with a continuous floor height h(s), max grade 15°;
- a rounded crest;
- an open-air half-pipe where there is no rock;
- a thin solid shell ("plain shell rule": interior always air, a thin shell always solid);
- smooth-min where tunnels meet;
- mouths that ramp into the ground.
Key code: `Standalone/Core/src/ShapeWorldInternal.h` (`FScopedPassageTileQueries`, `prepareSweptTubeBase`, around
lines 374 and 11436), `Standalone/Core/src/VoxelForgeCore.cpp:~2747`. Reports: `Standalone/Research/WorldAssemblerM3/Linux109`
… `Linux119` (REPORT.md each).
Cost today [MEASURED, L117–L119]: the smooth tunnel is 13–22% slower than the coarse L109 tunnel at LOD0–2 readiness.
About 95% of the extra cost is in passage-feature tiles. The causes: sweep pairs (sample × curve segment), exact
fallbacks that re-scan segments for off-grid queries, segment visits, per-tile prepare, and smooth-min.
## The idea to review (owner + orchestrator)
Today each sample "pulls": it searches for the nearest curve segment and computes a distance. Proposed: "push"/stamp.
For each tile, walk the curve in rings (frames: position, forward, up, as with an Unreal spline mesh) and write the
tube's signed distance into only the lattice samples near each ring. Only a narrow band of about one voxel around the
wall needs an exact value; deep rock only needs "rock" and the tunnel interior only needs "air". Off-grid queries
(normals/gradients at seams, gameplay point queries) would read the stamped lattice, interpolating, instead of
re-searching the curve. Also: accept curve accuracy at one voxel (25 cm) rather than 2.5–10 cm, and build the curve
frames once per route rather than per tile.
## Questions
1. Is the cost model right? From the code, what does a passage-feature tile do per sample today, and what would stamping
replace? Estimate the work ratio (samples touched × ops) for a typical LOD0 tile and for LOD1–2.
2. What breaks or gets harder, concretely in this code?
- box verdicts/tile skipping (`ClassifyTile`-style proofs that a tile is all solid/air);
- seams between tiles: both neighbours must stamp identical values at shared samples, deterministically;
- LOD levels (coarser lattices);
- off-grid `DensityAtUnclamped` queries and gradients;
- min/smooth-min with the rest of the field and with other tunnels;
- the floor h(s), half-pipe, shell, mouths;
- walk audits;
- thread safety.
3. Is "write into the lattice" compatible with how density is evaluated (lattice fill vs point evaluation)? If the
pipeline is pull-only, what is the smallest change that gets the push benefit? For example, a per-tile sparse
band list built by walking rings, then lookups during fill.
4. Is there a simpler or cheaper alternative we're missing? For example, an analytic local frame per sample from the
spline parameter, or a coarse per-tile segment window that is already almost free.
5. Recommendation: the design you would build, in steps, with the evidence bar (what measurement would prove or kill
it). Keep it short.
Write your answer as plain Markdown, at most ~1,200 words.
@@ -0,0 +1,53 @@
[INFERENCE] **Build a tighter passage cache first.** Ring stamping is promising, but the code already pushes segment contributions into a tile lattice. The main opportunity is reducing coverage, overlap, and off-grid fallback work—not reversing a purely pull-based architecture.
References below: `H` = `Standalone/Core/src/ShapeWorldInternal.h`; `C` = `Standalone/Core/src/VoxelForgeCore.cpp`; `M` = `Standalone/Source/VoxelForge/Private/VoxelMarchingCubesMesher.cpp`. Report references mean `Standalone/Research/WorldAssemblerM3/LinuxNNN/REPORT.md`.
**1. Cost model**
[CODE] `prepareSweptTubeBase` allocates per-passage `(cells+3)³` sample records, including a one-step halo. It walks candidate bounding boxes, lattice samples, then fine segments; individual segment bounds reject some pairs. Accepted pairs compute projection, deterministic square root, radius, floor profile, and potentially shell distance. A final pass flattens the selected tube and caches relief (`H:11436`, `H:11489`, `H:11521`, `H:11659`).
[CODE] During density evaluation, aligned samples retrieve that cache, then still perform relief weighting, floor shaping, mouth fades, shell composition, and host-field composition. Misses invoke two hierarchy searches: nearest body/floor and nearby shells—not necessarily a linear whole-route scan (`H:1247`, `H:1346`, `H:1427`, `H:1435`).
[MEASURED] L119 reports 29.40M preparation pairs and 24.46M segment visits across its four LOD0–2 profiles. Preparation fell 59.8% versus L118, while fallbacks increased 55–58%. L117 attributes about 95% of the tile-worker regression to passage-feature tiles. Thus the diagnosis is sound, but those counters do not establish equivalent costs per operation.
[INFERENCE] For an illustrative straight crossing, assume exposed surface perimeter \(P=16\) m, tile crossing length \(L=32\Delta\), and exact band ±one lattice step. Unique band samples are approximately \(2PL/\Delta^2\):
| [INFERENCE] Normal tile | LOD0 | LOD1 | LOD2 |
|---|---:|---:|---:|
| Spacing Δ | 0.25 m | 0.5 m | 1 m |
| Band samples | 4,096 | 2,048 | 1,024 |
| Fraction of 35³ prepared grid | 9.6% | 4.8% | 2.4% |
[INFERENCE] These are geometric estimates, not measured “typical tiles”; clipping, floor/outer-shell surfaces, bends, and crossings change them. If today fraction \(f\) of the grid receives \(k\) segment evaluations, and stamping averages \(m\) contributions per band sample, the expensive-work ratio is approximately `(table fraction × m)/(f × k)`, multiplied by relative operation cost. For `f=0.5, k=2, m=2`, that is 19%, 9.6%, 4.8%. Allocation, classification, host evaluation, and composition remain. Dense rings can make \(m\) large and erase this advantage.
**2. Concrete difficulties**
- [CODE] **Skipping:** passage-bound overlap currently vetoes a uniform proof and returns `Mixed` (`H:5684`). [INFERENCE] Retain conservative bounds, expanded for approximation and reconstruction support. “No band samples written” proves neither solid nor air: a thin shell can lie between samples.
- [CODE] **Seams:** cache coordinates derive from integer world coordinates; nearest ties use segment index (`H:11448`, `H:11564`, `H:11640`). [INFERENCE] Generate rings from route-global parameters, never tile-local stepping. Include every contributor affecting shared samples and halos; use stable ordering and arithmetic. Independently clipping ring generation at tile boundaries risks disagreement.
- [INFERENCE] **LOD:** distinguish 25 cm curve error from lattice spacing. A fixed 25 cm band is insufficient around 1 m cells; cover interpolation corners and gradient support. A 0.75 m shell can disappear at coarse resolution. Independently reconstructed LOD fields also disagree off-grid; define one canonical point-query field.
- [CODE] **Off-grid:** `sweptSample` rejects non-lattice coordinates; public point queries call `DensityAtUnclamped` without requiring a tile cache (`H:11721`; `C:1875`). Gradients normally use density-grid values, with unclamped fallback (`M:1972`). [INFERENCE] Interpolation needs all eight valid corners, including outside loaded tiles. It changes gradients and zero crossings; interpolating only passage channels also differs from interpolating the fully composed field.
- [CODE] **Composition:** passage bodies and shells use separate hard minima; final composition includes host/native-floor exceptions (`H:1496–1519`). The floor corner uses smooth-max, implemented through smooth-min (`H:3493`, `H:6940`). [INFERENCE] Do not assume the measured smooth-min cost is tunnel-to-tunnel joining. Preserve separate void/shell channels and composition order. Arbitrary “rock/air” magnitudes can move interpolated crossings and smooth blends.
- [CODE] **Shape:** floor selection is independent of minimum round distance; the code explicitly warns that minimizing flattened segment distances makes downhill floors jump (`H:1328`). Floor evaluation uses horizontal projection, authored `h(s)`, and XY mouth blending (`H:3448`). Shells have rounded crests and five-metre mouth fades (`H:1461`, `H:3503`). [INFERENCE] A conventional spline-normal D-section changes this geometry. Stamped isolated rings can scallop; rasterize bounded slabs between frames while preserving gravity-relative floors, shell unions, and interior priority.
- [MEASURED] **Walkability:** L119’s maximum sampled floor-root offset was 7.884 mm; L113 documented voxel-aligned floor ribs. [INFERENCE] A 25 cm curve tolerance does not authorize 25 cm floor error or guarantee ≤15° grade. Audit reconstructed density and meshes, including mouths, overlaps, support, and headroom—not only planner `h(s)`.
- [CODE] **Threads:** copied worker scopes share prepared data through a shared pointer; active scope is thread-local (`H:353`, `H:11411`; `C:2854`). [INFERENCE] Finish stamping before publication. Parallel ring writes require deterministic reductions; mutable shared lazy caches introduce synchronization and lifetime problems.
**3. Smallest useful change**
[CODE] Preparation already precedes `GenerateMesh`, whose fill calls lattice evaluators (`C:2747`, `C:2892`; `M:1488`). Route segments are already prepared globally with 10 cm chord tolerance and an 8 m spacing cap (`H:4601`).
[INFERENCE] Replace preparation’s broad pair enumeration with conservative slab-to-grid spans or small spatial bins. Keep indexed lookups during pull-based fill. Store body/floor ownership and shell contributions separately; use explicit outside/interior/band states. A dense index plus compact records may beat a sparse hash map. Additional frames can be route-global, but this does not eliminate existing per-tile rasterization.
**4. Alternatives and recommendation**
[MEASURED] L115 already reduced coarse candidates 74.1% without reducing fine pairs. L118’s restriction of fallbacks to prepared spans changed output; L116’s 20.8% pair reduction did not recover readiness.
[INFERENCE] An analytic local frame still needs a parameter lookup, especially near folds. Prefer globally indexed conservative segment bins, shared by preparation and exact point queries.
[INFERENCE] Build in three steps: instrument unique samples, overlap, misses by caller, memory, and per-LOD time; implement tighter bins/slabs while preserving geometry; then separately trial 25 cm curve tolerance and canonical interpolation. Accept only reproducible near-readiness gains against L119/L109 plus unchanged walk/seam requirements and cross-compiler/worker determinism. Kill the approach if saved distance work becomes rasterization, memory, or reconstruction cost.
@@ -0,0 +1,53 @@
# VoxelForge — read-only design review: per-block bit flags (masks) to skip work
You are reviewing an idea against real code. **Do not edit, create or delete any file, and do not build or run
anything.** Read code and reason. Be thorough; mark each claim as [CODE] (with file:line), [MEASURED] (from a report),
or [INFERENCE].
## Context
VoxelForge Core (`Standalone/Core`) generates a density field: negative = solid, positive = air, 25 cm voxels, 32³ tiles,
LOD0–8 clipmap, marching cubes. The production mesher for the standalone path is in `Standalone/Source/...`, and Core is
also compiled into Unreal. Same seed must give the same world on every machine and worker count; byte-identity with
older versions is NOT required.
Branch `assembler/world` (HEAD `7022d02`'s parent line, currently `4041d4b`) has the smooth inter-strate tunnels.
Readiness target: LOD0–2 near terrain in ~1 s on arrival. Measured today: SW ~0.7–0.8 s, VS ~0.9 s, FI/TN ~1.0 s
headless. In Linux UE, start→LOD0–2 is ~2.2–2.5 s. At 30 m/s in UE, near coverage is ~40%.
Reports to consult: `Standalone/Research/WorldAssemblerM3/Linux1*/REPORT.md`, especially:
- L77/L87/L117, cost census;
- L124, shape gate and per-strate timings;
- L125/L126/L128, tunnel prepare: per-segment work, 67–73% pair overlap, support up to 7.9 m;
- L128, where an exact one-owner slab scheme halved pairs but got slower because of per-sample ownership tests.
Tile skipping already exists at tile level: box verdicts / classify, where all-solid or all-air tiles are skipped.
## The idea (from the owner)
Keep bit flags per block (1 bit per voxel, or per small brick of e.g. 4³ or 8³ voxels): for example "certainly deep
solid", "certainly deep air", "near a surface", "touched by a tunnel", "already evaluated". Use them to skip work in
generation and meshing, and possibly elsewhere (collision, streaming, edits, AI/nav, lighting).
## Questions
1. Where does time actually go per tile today, and which of that work a mask could skip? Cover density fill,
classification, mesher (marching cubes, normals/gradients, skirts, seam refinement), passage prepare, and composition.
Use measured census numbers where they exist.
2. Which flags are sound? A flag must be a proof, never a guess. A mask "certainly solid" must be derived from a
conservative bound (the bound must be the supremum of what the evaluator produces), or the mesher will delete
surfaces. Which bounds already exist in the code (box verdicts, interval bounds) that a brick-level mask could reuse?
Name the existing hazards. For example, `Identity` means `Sdf >= T`, and `ClassifyTile` proving below-TerrainZ solid
would delete 3D caves.
3. Granularity: per-voxel bits vs per-brick (4³/8³) vs per-column. What does each cost to build, versus what it
saves? Consider SIMD and cache behaviour. Marching cubes needs only cells whose corner signs differ, and gradients
need a halo.
4. "Already evaluated" or "checked" flags: where would they be correct (memoisation of identical queries), and where
would they be wrong (nearest-of-many queries like the tunnel segments)? Is there repeated identical evaluation today,
for example halo samples shared between neighbouring tiles, or skirt/seam re-queries?
5. Other uses: player edits (diff layer), collision-only server tiles, streaming priority, nav. Which would a mask
genuinely help, given the multiplayer rule (replicate seed + layout + diff, never geometry)?
6. Recommendation: the one or two mask designs most likely to pay off, with the expected gain (a range, marked
inference), the measurement that would prove or kill each, and the risks. Keep it short.
Write plain Markdown, at most ~1,200 words.
@@ -0,0 +1,83 @@
[INFERENCE] **Improve the existing brick-proof system; don’t add a general “checked voxel” mask.** The promising savings are avoided field/composition work and passage preparation, rather than marching-cubes classification.
References below abbreviate these files: [M = production mesher](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Source/VoxelForge/Private/VoxelMarchingCubesMesher.cpp), [S = ShapeWorldInternal.h](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Core/src/ShapeWorldInternal.h), [C = VoxelForgeCore.cpp](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Core/src/VoxelForgeCore.cpp), [O = VoxelDensityOpStack.cpp](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Source/VoxelForge/Private/VoxelDensityOpStack.cpp). L-numbers identify `Standalone/Research/WorldAssemblerM3/LinuxN/REPORT.md`.
[INFERENCE] Evidence limitation: Linux128 is absent from this checkout. Its supplied 7.9 m support and slower one-owner result remain unverified here. The reports below span different revisions; their percentages must not be presented as today’s census.
**1. Where time goes**
[MEASURED] L77’s exclusive FI/TN LOD0–2 worker account:
| Work | FI | TN |
|---|---:|---:|
| Total worker CPU/view | 23.02 s | 21.50 s |
| Passage composition | 65.9% | 65.4% |
| Support | 14.2% | 13.5% |
| Base field | 3.2% | 3.3% |
| Bands / dispatch | 2.3% / 3.7% | 2.6% / 3.6% |
| MC / skirts / refinement, excluding field work | 1.6% / 0.1% / 7.5% | 1.2% / 0.2% / 8.6% |
[MEASURED] Grid fill occupied 19.058/17.377 worker-seconds, **overlapping** those phase categories. L117’s later census found support zero; its smooth-tunnel regression concentrated about 95% of added tile CPU in passage-feature tiles. Cell classification stayed flat; gradients became cheaper. Thus L77 identifies historical leverage, not current percentages.
[MEASURED] L125 preparation averaged 514/130/4.1 ms worker work at LOD0/1/2. LOD0 evaluated 3.11–8.49 million segment/sample pairs with 67–72% overlap, although the exact band occupied only 5–7% of grid samples. L126 reduced floor-profile calls 20–23% without useful readiness improvement.
[CODE] Brick skipping already exists: configurable block verdicts, required-sample masks, and active-block gradient halos (M:646,1053). MC already rejects cells without sign crossings before interpolation/gradients (M:2186). Gradient memoisation exists (M:1956). Skirts issue separate density queries (M:2491); refinement has its own stage (C:2975).
[INFERENCE] A pre-evaluation proof can save density, composition, and subsequent MC work. A sign mask constructed after density evaluation saves only downstream scanning. Classification itself costs work; no isolated current classification percentage is established by these reports.
[MEASURED] L124’s shape gate alone took 179–226 ms, with no near-tile admissions before completion. L87 additionally measured a 107–153 ms far-parent gate and no headless collision wait. Tile masks cannot directly remove these gates or explain the supplied UE/headless gap.
**2. Sound flags and hazards**
[INFERENCE] For final density \(D\), solid requires an upper bound covering the evaluator’s supremum, \(U<0\); air requires a valid lower bound \(L\ge0\). “Deep” requires an explicit margin. Unknown must stay unknown. A crossing proves an MC-active cell; uniform sampled signs do not prove an entire continuous volume surface-free.
[CODE] Reusable proofs include:
- S:5428: halo-expanded box classification.
- S:5974: exact surface-column extrema over the MC lattice.
- S:6019: floating-island density intervals.
- S:5197,6032: native cave intervals.
- S:5949: stamp interval composition with outward numerical padding.
- O:6998: operation-specific inactivity from SDF lower bounds.
[CODE] These proofs have guards: passage overlap returns unknown (S:5687); unsupported stamp composition returns unknown (S:5655); stratum crossings are rejected (S:5900). The mesher distinguishes uniform candidates from `bSkipSafe` certificates (M:715,756), and otherwise validates candidates against actual samples (M:1838).
[CODE] For gated modifiers, `Identity` can mean `Sdf >= T`, not `abs(Sdf) >= T` (O:1496,6998). Noise bounds cannot assume nominal `[-1,1]`: FBM and unclamped cellular bounds are explicitly discussed at O:848,301.
[INFERENCE] Additional hazards: confusing internal SDF with final density; certifying base terrain before caves, tunnels, shells, stamps or edits; using lattice proofs for off-grid queries; ignoring rounding or gradient halos. A below-`TerrainZ` solid rule applied to 3D caves deletes caves. “Touched by tunnel” should mean conservative candidate overlap; only **proven untouched** authorizes omission.
**3. Granularity**
[INFERENCE] Storage per flag for 32³ cells:
| Granularity | Storage | Construction/tradeoff |
|---|---:|---|
| Per cell | 4 KiB | 32,768 decisions; expensive unless derived during necessary work |
| 4³ bricks | 64 B | 512 proofs; tighter boundaries, more proof/halo overhead |
| 8³ bricks | 8 B | 64 proofs; cheaper, more mixed bricks |
| XY columns | 128 B | 1,024 decisions; useful mainly for heightfield-specific proofs |
[INFERENCE] These exclude corner/halo samples, metadata and additional flags. A column bit cannot represent multiple cave intervals. Brick runs preserve contiguous X sampling and SIMD better than scattered per-sample branches; bit packing alone does not establish a speedup.
[CODE] The existing implementation uses byte arrays and preserves exact samples around active bricks (M:1053–1083). Replacing densities with arbitrary same-sign constants near active cells would corrupt interpolated positions or normals.
**4. “Already evaluated”**
[CODE] Passage preparation precedes meshing (C:2747). Its valid sentinel is initialization, not completion: subsequent segments update floor selection, shell minima and round-distance winners, with deterministic tie-breaking (S:11520,11615,11688).
[INFERENCE] Therefore first-visitor wins is invalid. Memoisation is valid only for identical queries against identical seed/layout/evaluator/edit revision and query semantics; cache the value, not just a bit.
[MEASURED] L77 counted 8.6–8.9% halo points, without measuring duplicate coordinates. L125 verified 4,900 shared samples across four neighbour pairs and still recorded substantial off-grid skirt/midpoint fallbacks.
[CODE] Shared-grid reuse and gradient validity caches already exist (M:1031,1956). [INFERENCE] Skirt/seam queries are reuse candidates only when coordinates and semantics actually match; “same voxel” is insufficient.
**5. Other uses**
[INFERENCE] Edit-dirty bricks can localize regeneration, with invalidation expanded through normals, seams and collision dependencies. Collision-only servers can skip certified empty regions, but still need boundary geometry. Streaming can prioritize potentially occupied bricks; nav and lighting need clearance/connectivity or visibility data beyond occupancy. Keep masks derived locally from replicated seed + layout + diff, versioned with that state.
**6. Recommendation**
- [INFERENCE] **Tune existing 4³/8³ certificates**, caching proofs and emitting contiguous required-sample runs. Plausible incremental near-ready saving: **0–5%**, with regressions possible. Measure proof time, samples avoided, halo expansion, total worker CPU and UE readiness.
- [INFERENCE] **Pass required-region information into passage preparation**, rejecting whole segment/brick regions conservatively. Plausible near-ready saving: **0–10%**, highly uncertain because passage overlap currently vetoes proofs. Kill it if pair reduction fails to reduce preparation and end-to-end time.
[INFERENCE] Both require seam/off-grid validation, adversarial bound checks, edit invalidation tests, and cross-machine/worker determinism. Preserve canonical tie-breaking; old-version byte identity need not constrain a sound redesign.
@@ -0,0 +1,37 @@
# VoxelForge — open read-only review: what should be done and focused on now?
You are an outside reviewer. **Do not edit, create or delete any file, and do not build or run anything.** Read the
repository and its reports and reason. Be thorough; mark each claim as [CODE] (with file:line), [MEASURED] (from a
report), or [INFERENCE].
## The project, in the owner's words and goals
- VoxelForge is a UE5 density-field voxel plugin for a **multiplayer** game. The world is made of stacked "strates"
(layers) linked by tunnels. The standalone C++ generator is "Core" (`Standalone/Core`), and it is also compiled into
Unreal. Read `CLAUDE.md`, `CODEMAP.md`, `ARCHITECTURE.md`, `GDD.md`, `COMPOSER-NOTES.md` and `fable-idea.md` at the
plugin root for the game and design intent. The research reports are in
`Standalone/Research/WorldAssemblerM3/Linux*/REPORT.md` and the `Astra*/` reviews.
- Owner goals stated over time:
- the near terrain (LOD0–2) ready in ~1 s on arrival, then far terrain keeps filling in at low priority;
- same seed gives the same world on every machine (byte-identity with older versions is NOT required);
- smooth for VR and high-speed travel;
- all generators (surface, floating islands, caves, dreamcore/liminal, etc.) working in Core;
- the system should eventually *invent* strates and worlds from tagged authored content plus a seed;
- keep things simple and avoid over-complication.
- The current main line is branch `assembler/world`.
## Your task
Look at the whole: code, reports, design docs, and the direction of the last few dozen rounds. Tell the owner what
should be done and focused on now, whatever it is. That may be performance, features, generation quality, gameplay
foundations, architecture, technical debt, tooling, process, or stopping something. Don't assume the recent focus is
the right one; question it if the evidence says so.
Answer:
1. **Where the project actually is**: what works, what's fragile, what's missing for the game to exist.
2. **The top 3–5 things to focus on now**, ranked, each with why, a rough size, what "done" looks like, and how to
tell it worked.
3. **What to stop or deprioritise**, and why.
4. **Risks or debts** that will bite later if ignored.
Write plain Markdown, at most ~1,500 words, readable by a non-specialist owner (explain jargon briefly).
@@ -0,0 +1,72 @@
[INFERENCE] **Focus now on a small, persistent multiplayer descent, supported by end-to-end Unreal performance work.** VoxelForge has substantial terrain technology. The larger uncertainty is whether it delivers a reliable, interesting shared expedition. Another sequence of tunnel optimizations will not resolve that.
Read-only review of `assembler/world` at `044cd6d`; no files changed and no builds, tests, or project execution. [CODE] identifies repository evidence; design-document references establish intent, not implementation. [MEASURED] means reported results, not independently reproduced measurements.
**1. Where the project actually is**
[CODE] **Core is real and integrated, but generator implementation remains mixed.** Unreal compiles the canonical standalone sources through validated wrappers. Core dispatches to surface, floating-island and native graph evaluators, with a legacy-generator fallback when appropriate. That is useful coverage, but does not mean every family has a complete native implementation. See [VoxelForgeCore.Build.cs:15](/home/jahni/VoxelM/Plugins/VoxelForge/Source/VoxelForgeCore/VoxelForgeCore.Build.cs:15) and [ShapeWorldInternal.h:600](/home/jahni/VoxelM/Plugins/VoxelForge/Standalone/Core/src/ShapeWorldInternal.h:600).
[MEASURED] **Passage correctness and speed have improved substantially.** L109 simplified tunnels and removed support-restoration machinery, reducing floating-island and tunnel-network near-generation times by approximately 31–38%. L125 reports 21,425/21,425 open route samples, a maximum sampled floor offset of 7.884 mm, and matching cross-compiler/worker hashes. These are meaningful engineering achievements. [L109](Standalone/Research/WorldAssemblerM3/Linux109/REPORT.md), [L125](Standalone/Research/WorldAssemblerM3/Linux125/REPORT.md).
[MEASURED] **The one-second player experience is not achieved.** L125’s standalone near-ready medians were approximately 0.78–1.03 seconds. L127’s Unreal startup took 2.22–2.51 seconds; at 30 m/s, median near coverage fell from 43.36% to 40.22% after the smooth-tunnel merge. Both versions recovered after stopping. L130 found no measurable timing improvement and skipped Unreal movement. These are different workloads; subtracting their times would not isolate a particular overhead. [L125](Standalone/Research/WorldAssemblerM3/Linux125/REPORT.md), [L127](Standalone/Research/WorldAssemblerM3/Linux127/REPORT.md), [L130](Standalone/Research/WorldAssemblerM3/Linux130/REPORT.md).
[CODE] **Multiplayer foundations exist; the multiplayer lifecycle remains unfinished here.** There are season hashes, local terrain-edit entry points, and streaming-anchor infrastructure. The architecture explicitly leaves join replication, authoritative edit messages, late-join snapshots and networked season changes open. The edit entry point directly dispatches to local modification paths. [VoxelWorld.h:574](/home/jahni/VoxelM/Plugins/VoxelForge/Source/VoxelForge/Public/VoxelWorld.h:574), [VoxelWorld.cpp:15771](/home/jahni/VoxelM/Plugins/VoxelForge/Source/VoxelForge/Private/VoxelWorld.cpp:15771), [ARCHITECTURE.md:2408](/home/jahni/VoxelM/Plugins/VoxelForge/ARCHITECTURE.md:2408).
[CODE] **The composer is more than a proposal, but less than the full content vision.** It rolls candidates, measures them and rejects failures. The intended system additionally combines tagged geometry, materials, decorations, creatures and audio; theme coherence remains an open design item. [VoxelSeasonManifest.cpp:2523](/home/jahni/VoxelM/Plugins/VoxelForge/Source/VoxelForge/Private/VoxelSeasonManifest.cpp:2523), [COMPOSER-NOTES.md:1512](/home/jahni/VoxelM/Plugins/VoxelForge/COMPOSER-NOTES.md:1512).
[INFERENCE] **This repository demonstrates a capable terrain platform, not yet a validated game loop.** I cannot establish what gameplay exists outside the plugin. The GDD itself identifies “Is the descent fun?” as its first unresolved question. [GDD.md:441](/home/jahni/VoxelM/Plugins/VoxelForge/GDD.md:441).
**2. Ranked priorities**
All sizes below are [INFERENCE]: rough focused engineering estimates, excluding substantial art production.
**1 — Deliver one multiplayer expedition that survives reconnecting. Size: 3–6 weeks.**
[INFERENCE] Use two contrasting strates and their connecting tunnel. Two players descend, find one destination, uncover or collect something, return, and retain their changes after restart. Include a third player joining after terrain has changed. Avoid expanding immediately into the city economy or community backend.
[INFERENCE] The necessary foundation is a server-approved world identity, ordered authoritative edits, a saved snapshot plus subsequent edits, and collision around separated players. Give edits stable identifiers so retransmission cannot apply them twice. Reuse the existing local edit and anchor systems.
[INFERENCE] **Done:** host/client edits agree; a late joiner reconstructs the same terrain; restart preserves it; incompatible world versions fail clearly; remote players have ground when away from the host.
[INFERENCE] **Success:** a complete shared expedition without terrain disagreement, lost progress or collision failures—and players can explain what made them want to descend again. This tests the project’s central assumptions much earlier than a complete RPG would.
**2 — Close the Unreal arrival and movement gap. Size: 1–3 weeks initially.**
[MEASURED] L122 found idle generation capacity while admission was blocked; L123 measured approximately 19 ms from region request to game-thread observation despite sub-millisecond median compilation. Simple lookahead and admission relaxations failed their combined coverage/frame-time gates. L121’s modest extra far-apply lane did improve far coverage. [L121](Standalone/Research/WorldAssemblerM3/Linux121/REPORT.md), [L122](Standalone/Research/WorldAssemblerM3/Linux122/REPORT.md), [L123](Standalone/Research/WorldAssemblerM3/Linux123/REPORT.md).
[INFERENCE] First establish one current-build, rendered Unreal baseline on intended hardware. Measure arrival through **visible terrain and usable collision**, then walking, 30 m/s travel, turns, teleporting and edits. Record near coverage, far gaps, frame-time spikes and memory separately. NullRHI measurements, which omit rendering, cannot certify VR comfort.
[INFERENCE] Investigate region completion, admission and publication before another broad density rewrite. A game-thread continuation is a candidate experiment, not a proven solution; keep world mutation on its owning thread.
[INFERENCE] **Done:** approximately one-second LOD0–2 readiness on the agreed hardware, safe collision, steadily filling far terrain, and an explicit movement-coverage target without worsening frame spikes. **Success:** repeated rendered runs meet those limits, including with remote-player collision work. Do not redefine “ready” as only the nearest handful of tiles.
**3 — Turn generator breadth into playable variety. Size: 2–4 weeks for the first content slice.**
[INFERENCE] Establish a compact capability matrix for each family: Core dispatch, entrances/exits, interior connectivity, edits, materials/content, far terrain and performance. Include dreamcore/liminal explicitly; motif generation alone does not establish a convincing anomalous place.
[MEASURED] L58 illustrates the distinction: its lattice route passed reachability checks, but the review described a corkscrew tunnel rather than the intended open vertical shaft. Technical validity and identity are separate acceptance criteria. [L58](Standalone/Research/WorldAssemblerM3/Linux58/REPORT.md).
[INFERENCE] Extend the existing offline composer with a small tagged library: a grounded cave, an island environment and one liminal identity, each with coherent materials, sound and a destination. Preserve owner review before publishing a season.
[INFERENCE] **Done:** several seeds produce recognizably different, coherent places with findable progression and usable encounter spaces. **Success:** players navigate them without developer guidance and distinguish their identities without reading labels. Expand families after this works.
**4 — Consolidate the evidence and remove obsolete complexity incrementally. Size: 2–4 days, then ongoing.**
[INFERENCE] Maintain one short current-state page: shipped behavior, open defects, active baseline, hardware and next acceptance test. Keep historical reports as history. Remove rejected experimental paths when they no longer serve a specific comparison; extract stable responsibilities when touching oversized files.
[INFERENCE] **Done:** a contributor can identify the current evaluator, runtime path, multiplayer gaps and performance limits without reconstructing 130 rounds. **Success:** new work no longer repeats rejected experiments or treats old measurements as current.
**3. Stop or deprioritise**
- [INFERENCE] **Pause open-ended tunnel micro-optimization.** L125/L126 missed the older speed bar; L130’s reach correction produced no measurable speedup. Keep correctness fixes, but require a current cost account and a bounded experiment before further optimization. [MEASURED: L126](Standalone/Research/WorldAssemblerM3/Linux126/REPORT.md), [L130](Standalone/Research/WorldAssemblerM3/Linux130/REPORT.md).
- [INFERENCE] **Do not implement Astra recommendations mechanically.** Astra1’s support-heavy model predates L109’s simplification. Astra2/3 offer hypotheses, not measured wins for today’s code. Re-profile before adopting them.
- [INFERENCE] **Defer GPU generation, a mesher replacement, elaborate discovery systems and large-scale backend work.** None currently resolves the missing shared expedition.
- [INFERENCE] **Stop requiring old-version byte identity for deliberate generation changes.** Preserve peer agreement within a version and explicit versioned saves; permit reviewed geometry improvements.
**4. Debts that will bite later**
[INFERENCE] **Determinism needs a deployment contract.** Linux Clang/GCC and worker-count agreement is strong evidence, not proof across every intended machine. Include Windows/compiler/CPU combinations actually supported. World identity must cover evaluator, content, layout, scale and edit state—not merely seed. [MEASURED: L130](Standalone/Research/WorldAssemblerM3/Linux130/REPORT.md).
[CODE] **Scale and fallback complexity remain active integration risks.** Core is opt-in, and runtime queries bridge different coordinate conventions. [VoxelWorld.h:300](/home/jahni/VoxelM/Plugins/VoxelForge/Source/VoxelForge/Public/VoxelWorld.h:300), [VoxelWorld.cpp:15612](/home/jahni/VoxelM/Plugins/VoxelForge/Source/VoxelForge/Private/VoxelWorld.cpp:15612). [INFERENCE] Test edits, content placement and collision across those boundaries before broadening authoring.
[INFERENCE] **A passing route audit does not prove a whole strate is enjoyable, connected or suitable for six-player combat.** Retain geometric checks, but add actual traversal, destination discovery and encounter-space evaluation. Those are now more valuable than another polished tunnel benchmark.
@@ -0,0 +1,111 @@
#!/usr/bin/env python3
"""Measure the fixed-depth floor and derived centreline against the authored grade."""
from __future__ import annotations
import json
import math
from pathlib import Path
ROOT = Path(__file__).resolve().parents[4]
LAYOUT = ROOT / "Saved/Linux/l109/audit-layout-final-stamp.json"
OUT = ROOT / "Saved/Linux/l109/floor-ramp-grade-final.json"
MOUTH_RAMP_METRES = 5.0
def route_m(layout: dict, passage: dict):
scale = layout["core_voxel_size_um"] / 256.0 / 1_000_000.0
controls = [(tuple(float(v) * scale for v in row["position_q"]),
float(row["radius_q"]) * scale) for row in passage["control_points"]]
lower_q = passage["lower_mouth_q"]
player_center_above_floor_q = round(
1.13 * 256.0 * 1_000_000.0 / layout["core_voxel_size_um"])
lower_index = next((index for index, row in enumerate(passage["control_points"])
if row["position_q"][0] == lower_q[0]
and row["position_q"][1] == lower_q[1]
and row["position_q"][2] - row["radius_q"]
+ player_center_above_floor_q == lower_q[2]), None)
if lower_index is None:
raise RuntimeError(f"{passage['stable_id']}: lower mouth control is unbound")
return controls[:lower_index + 1]
def maximum_grade(profile):
grades = []
for (p0, z0), (p1, z1) in zip(profile, profile[1:]):
horizontal = math.hypot(p1[0] - p0[0], p1[1] - p0[1])
if horizontal > 1.0e-8:
grades.append(math.degrees(math.atan2(abs(z1 - z0), horizontal)))
return max(grades, default=0.0)
def main() -> int:
layout = json.loads(LAYOUT.read_text(encoding="utf-8"))
rows = []
for passage in layout["passages"]:
route = route_m(layout, passage)
segment_lengths = [math.dist(a[0], b[0]) for a, b in zip(route, route[1:])]
prefix = [0.0]
for length in segment_lengths:
prefix.append(prefix[-1] + length)
interior_radii = [radius for distance, (_, radius) in zip(prefix, route)
if distance >= 10.0 and prefix[-1] - distance >= 10.0]
minimum_body_radius = min(interior_radii or [radius for _, radius in route])
body_depth = max(0.5, minimum_body_radius - 0.23)
scale = layout["core_voxel_size_um"] / 256.0 / 1_000_000.0
upper_target = max(0.0, route[0][0][2]
- passage["upper_mouth_q"][2] * scale + 1.13)
lower_target = max(0.0, route[-1][0][2]
- passage["lower_mouth_q"][2] * scale + 1.13)
floor_profile = []
raw_fixed_depth_profile = []
maximum_centerline_shift = 0.0
for segment_index, (a, b, length) in enumerate(
zip(route, route[1:], segment_lengths)):
steps = max(1, math.ceil(length / 0.05))
for step in range(steps + 1):
if floor_profile and step == 0:
continue
t = step / steps
position = tuple(a[0][axis] + (b[0][axis] - a[0][axis]) * t
for axis in range(3))
radius = a[1] + (b[1] - a[1]) * t
along = prefix[segment_index] + length * t
mouth_distance = max(0.0, min(along, prefix[-1] - along))
u = max(0.0, min(1.0, mouth_distance / MOUTH_RAMP_METRES))
ramp = u * u * (3.0 - 2.0 * u)
local_radius_depth = max(0.0, radius - 0.23)
mouth_target = upper_target if along <= prefix[-1] * 0.5 else lower_target
mouth_depth = max(0.0, min(radius, mouth_target))
route_depth = mouth_depth + (local_radius_depth - mouth_depth) * ramp
tube_depth = min(body_depth, local_radius_depth)
effective_center = position[2] - route_depth + tube_depth
floor_profile.append((position, effective_center - tube_depth))
raw_fixed_depth_profile.append((position, position[2] - tube_depth))
maximum_centerline_shift = max(maximum_centerline_shift,
abs(effective_center - position[2]))
rows.append({
"passage": passage["stable_id"],
"path_m": prefix[-1],
"body_floor_depth_m": body_depth,
"mouth_blend_m": MOUTH_RAMP_METRES,
"preserved_route_floor_max_grade_deg": maximum_grade(floor_profile),
"unshifted_fixed_depth_floor_max_grade_deg": maximum_grade(
raw_fixed_depth_profile),
"maximum_derived_centerline_shift_m": maximum_centerline_shift,
})
OUT.write_text(json.dumps({
"method": "0.05 m route samples; fixed body depth from the minimum interior radius; "
"cubic smoothstep mouth blend",
"passages": rows,
}, indent=2) + "\n", encoding="utf-8")
for row in rows:
print(f"[L109FloorRamp] {row['passage']} "
f"depth_m={row['body_floor_depth_m']:.3f} "
f"preserved_grade_deg={row['preserved_route_floor_max_grade_deg']:.3f} "
f"unshifted_fixed_depth_grade_deg={row['unshifted_fixed_depth_floor_max_grade_deg']:.3f} "
f"max_center_shift_m={row['maximum_derived_centerline_shift_m']:.3f}")
return 0
if __name__ == "__main__":
raise SystemExit(main())
@@ -0,0 +1,70 @@
# Linux 109 — tunnel floor and shell
Baseline: `assembler/world` HEAD `95cf8de10723f2dffe7b3dfc116ecf350c7114ae`. Candidate source stamp: `9457b9bed7d57a4a387828961f9dd53632ec602eb5ea8f247b087be6ca5cc312` (evaluator v217).
## Shape
The per-tile swept tube now uses a horizontal flat floor, a 0.50 m smooth floor-to-wall corner, and a 0.75 m shell. Body floor depth is fixed per passage at the minimum interior radius minus 0.23 m, capped at the local radius. Five-metre cubic blends ramp both mouths into their ground; the lower mouth follows the matching authored native-cave floor where one exists. The route centreline shifts through radius tapers to keep that floor walkable. A small wall relief remains for naturalness.
The passage interiors are unioned first and always win over every passage shell, including at coiled crossings. The shell writes solid only where the host field is air; rock remains unchanged. There is no rock classification. Open-air shell and interior samples pass in the owner audit.
## Removed and retained
Removed route support restoration, deferred support after later bores, support columns, mouth-support restoration, and their floor-specific capsule checks and profiling records. Replaced the old open-air/column audit gates with the shell audit and removed the no-long-bridge and rock-column gates, which measured the deleted support mechanism. Walkability, capsule, headroom, grade, mouth, naturalness, and ripple gates remain. Floor-ripple probes fully masked by another passage's interior air are skipped only when the overlap is explicit; capsule walkability still has to pass.
Kept the native Lattice field's explicitly authored below-floor substrate because its spine needs it for walkability; this is part of that native field, not route support restoration. The legacy landmark demo retains its compatibility floor-cap path, which is separate from the resolved route sweep. Native Caves and Lattice fast checks pass.
## Performance
Five interleaved L80 pairs per cell, after one warmup for each binary; seconds are median `LOD0–2 near-ready / whole-view-ready`. Baseline binary is from `assembler/world` HEAD. Tile counts matched within each cell.
| Strate | W8 near | W8 whole | W12 near | W12 whole |
|---|---:|---:|---:|---:|
| SW | 0.680 → 0.737 (+8.3%) | 1.686 → 1.674 (−0.7%) | 0.700 → 0.761 (+8.8%) | 1.643 → 1.644 (+0.1%) |
| FI | 1.455 → 0.911 (−37.4%) | 2.419 → 1.772 (−26.8%) | 1.394 → 0.863 (−38.0%) | 2.288 → 1.664 (−27.3%) |
| TN | 1.423 → 0.956 (−32.8%) | 2.310 → 1.778 (−23.0%) | 1.294 → 0.895 (−30.9%) | 2.132 → 1.661 (−22.1%) |
| VS | 1.008 → 0.789 (−21.8%) | 1.917 → 1.639 (−14.5%) | 0.854 → 0.738 (−13.5%) | 1.716 → 1.541 (−10.2%) |
There is no broad regression. SW near-ready is about 0.06 s slower; its whole-view time is flat. **Measured:** SW LOD0–2 skirt triangles rise from 133,894 to 196,602, and summed skirt work rises from 455 to 743 ms at W8 and 650 to 1,044 ms at W12. **Inference:** the added open-air shell surface and skirts explain the small SW near-ready cost. FI, TN, and VS improve at both readiness marks.
## L77 phase census
Two samples per case. Entries are `share / estimated worker-s`; estimates use weighted L77 samples times `WorldAssemblerLODWorker` CPU, so they are not direct phase timers.
| Case | Base passage | Base support | Candidate passage | Candidate support |
|---|---:|---:|---:|---:|
| FI near | 44.62% / 4.108 | 14.84% / 1.366 | 22.90% / 1.133 | 0% / 0 |
| FI whole | 29.31% / 4.874 | 8.08% / 1.344 | 10.59% / 1.206 | 0% / 0 |
| TN near | 38.57% / 3.318 | 14.74% / 1.267 | 19.43% / 1.019 | 0% / 0 |
| TN whole | 24.48% / 3.824 | 7.59% / 1.186 | 9.25% / 1.074 | 0% / 0 |
The sampled support share disappears. Baseline estimates were 1.19–1.37 worker-s across these cases, below the 1.6–1.9 s expectation.
## Audits and determinism
The full-view all-LOD audit passes: 21,425/21,425 canonical passage centreline samples are open. All three interfaces pass capsule and support checks with zero blocked or unsupported samples, zero grade failures, and both mouths bound (2/2). Capsule samples: 266,175 (0–1), 15,120 (1–2), 64,764 (2–3). The shell audit sampled 89,365 floor points, 8,423 wall points, and 10,527 interior points: zero floor, wall, or interior violations; 22,755 open-air shell samples. Naturalness, mouth profile, and ripple summaries pass 3/3, with negative controls detected. Derived floor grade peaks at 14.49°; fast native Caves headroom is 0.30 m and native Lattice headroom is 2.20 m.
Fast tier: PASS, 259 PASS checks plus 5 diagnostics across 80 runs. The Clang/GCC hash matrix matches at W1/W8/W12 for the owner four-strata layout and both two-strata canonical recipes. The v217 canonical pins were written for Surface World style 1 and Floating Islands style 2.
Because Core sources are Unreal-compiled, the Linux VFHostEditor build passed with `-NoUBA -MaxParallelActions=4` (27 actions, 67.4 s). Three FI and three SW `after` arrival traces also passed, each settling its full requested LOD0–2 set. Unreal processes had no `prlimit`.
## Change metrics
LOD0–2 camera mesh windows; “moved” means a shared global lattice crossing displaced by more than 0.01 cm. Coverage is the paired edge-classifier coverage.
| Strate | Added | Removed | Moved | Coverage |
|---|---:|---:|---:|---:|
| SW | 78,201 | 14,530 | 2,758 | 99.75% |
| FI | 37,810 | 42,398 | 78,215 | 98.31% |
| TN | 44,694 | 48,925 | 48,816 | 98.29% |
| VS | 7,055 | 7,096 | 8,790 | 97.38% |
## Captures
84 PNGs: before and after, each with both mouths and 25/50/75% stations for all three passages. Each of the nine open-air sections has three views in each set. The [capture index](captures/INDEX.md) lists every image and flags every **OPEN AIR** view. All 84 source meshes and rendered views contain geometry; minimum visible triangles are 55,420 before and 55,484 after. Six before and seven after images met the pixel floor but were flagged low contrast for review.
Open-air sections (route distance in metres): `0–1`: 7.226–10.217, 13.456–17.443, 23.174–24.918, 1036.913–1489.321; `1–2`: 101.820–104.499; `2–3`: 7.677–34.747, 368.909–376.660, 393.828–396.510, 444.932–447.654.
## Failed runs
Early fast runs found a 0.79 m lower-mouth mismatch at native Caves and loss of the native Lattice route substrate; the mouth now matches the authored cave edge floor, and the explicitly authored Lattice floor field is retained. A sentinel check also initially treated the “no native floor” value as support; this was fixed. The first Unreal build stopped before compilation because UnrealBuildTool could not rotate its log under read-only `~/.config`; redirecting `XDG_CONFIG_HOME` to `/tmp` fixed it. Final audits, timings, hash runs, crossings, captures, build, and six traces passed. No run exceeded 30 minutes.
@@ -0,0 +1,511 @@
#!/usr/bin/env python3
"""Capture before/after passage mouths, route stations, and exposed shell sections."""
from __future__ import annotations
import json
import math
import re
from array import array
import struct
import subprocess
import time
from pathlib import Path
ROOT = Path(__file__).resolve().parents[4]
RESEARCH = Path(__file__).resolve().parent
CAPTURES = RESEARCH / "captures"
SAVED = ROOT / "Saved/Linux/l109/captures"
DATA = ROOT / "Standalone/data/owner_world.json"
BINARIES = {
"before": ROOT / "Saved/Linux/l109/bin-baseline/VoxelForgeCoreHeadless-l109-baseline",
"after": ROOT / "Saved/Linux/l109/bin-final/VoxelForgeCoreHeadless-l109-clang",
}
LAYOUTS = {
"before": ROOT / "Saved/Linux/l109/audit-layout-baseline.json",
"after": ROOT / "Saved/Linux/l109/audit-layout-final-stamp.json",
}
AUDIT_LOG = ROOT / "Saved/Linux/l109/audit-owner4-final-stamp.log"
RENDERERS = {
"before": ROOT / "Saved/Linux/l109/bin-baseline/VoxelForgeOffscreenCapture-l109-baseline",
"after": ROOT / "Saved/Linux/l109/bin-final/VoxelForgeOffscreenCapture-l109-clang",
}
SECTION = re.compile(
r"^\[PassageOpenAirSection\] id=(\S+) section=(\d+) start_m=([\d.]+) "
r"end_m=([\d.]+) samples=(\d+) midpoint_xyz_m=\(([^)]*)\) "
r"midpoint_radius_m=([\d.]+)", re.M)
DRAWN = re.compile(r"drawn_triangles=(\d+)")
QUALITY_METRICS = re.compile(r"stddev_luma=([\d.]+).*coverage_luma_gt12=([\d.]+)")
def vector(text: str) -> tuple[float, float, float]:
return tuple(float(value) for value in text.split(","))
def add(a, b):
return tuple(x + y for x, y in zip(a, b))
def sub(a, b):
return tuple(x - y for x, y in zip(a, b))
def mul(a, scale):
return tuple(x * scale for x in a)
def norm(a):
length = math.sqrt(sum(x * x for x in a))
if length <= 1.0e-9:
return (0.0, 1.0, 0.0)
return tuple(value / length for value in a)
def angles(camera, target):
delta = sub(target, camera)
horizontal = math.hypot(delta[0], delta[1])
return (math.degrees(math.atan2(delta[0], delta[1])),
math.degrees(math.atan2(delta[2], horizontal)))
def fmt(values) -> str:
return ",".join(f"{value:.6f}" for value in values)
def mesh_triangle_count(mesh: Path) -> int:
"""Read only the VFMSH headers and count indexed triangles."""
with mesh.open("rb") as stream:
magic = stream.read(8)
materials = magic == b"VFMSH002"
if magic not in (b"VFMSH001", b"VFMSH002"):
raise RuntimeError(f"unsupported mesh scene header: {mesh}")
version, _voxel_um, tile_count = struct.unpack("<3I", stream.read(12))
if version != (2 if materials else 1):
raise RuntimeError(f"mesh scene version mismatch: {mesh}")
stream.seek(40, 1)
triangles = 0
for _ in range(tile_count):
stream.seek(16, 1)
surface_count, _skirts, vertex_count, index_count, mask_count = struct.unpack(
"<5I", stream.read(20))
triangles += index_count // 3
stream.seek(vertex_count * 24 + (10 * vertex_count if materials else 0)
+ index_count * 4 + mask_count, 1)
if stream.read(1):
raise RuntimeError(f"trailing data in mesh scene: {mesh}")
return triangles
def dot(a, b):
return sum(x * y for x, y in zip(a, b))
def nearest_surface_anchor(mesh: Path, point, margin_m=200.0) -> dict:
"""Return a nearby VFMSH surface vertex and its normal."""
best_distance_sq = float("inf")
best_position = best_normal = None
with mesh.open("rb") as stream:
magic = stream.read(8)
materials = magic == b"VFMSH002"
if magic not in (b"VFMSH001", b"VFMSH002"):
raise RuntimeError(f"unsupported mesh scene header: {mesh}")
version, voxel_um, tile_count = struct.unpack("<3I", stream.read(12))
if version != (2 if materials else 1):
raise RuntimeError(f"mesh scene version mismatch: {mesh}")
stream.seek(40, 1)
for _ in range(tile_count):
key = struct.unpack("<4i", stream.read(16))
surface_count, _skirts, vertex_count, index_count, mask_count = struct.unpack(
"<5I", stream.read(20))
extent = (32 << key[3]) * voxel_um / 1_000_000.0
origin = (key[0] * extent, key[1] * extent, key[2] * extent)
if any(point[axis] < origin[axis] - margin_m or
point[axis] > origin[axis] + extent + margin_m for axis in range(3)):
stream.seek(vertex_count * 24 + (10 * vertex_count if materials else 0)
+ index_count * 4 + mask_count, 1)
continue
positions = array("f")
positions.frombytes(stream.read(vertex_count * 12))
normals = array("f")
normals.frombytes(stream.read(vertex_count * 12))
if materials:
stream.seek(vertex_count * 10, 1)
stream.seek(index_count * 4 + mask_count, 1)
if struct.pack("=I", 1) != struct.pack("<I", 1):
positions.byteswap()
normals.byteswap()
for index in range(min(surface_count, vertex_count)):
offset = index * 3
position = tuple(float(positions[offset + axis]) for axis in range(3))
distance_sq = dot(sub(position, point), sub(position, point))
if distance_sq >= best_distance_sq:
continue
raw_normal = tuple(float(normals[offset + axis]) for axis in range(3))
if dot(raw_normal, raw_normal) < 1.0e-10:
continue
best_distance_sq = distance_sq
best_position = position
best_normal = norm(raw_normal)
if best_position is None:
raise RuntimeError(f"no nearby surface vertices in mesh scene: {mesh}")
return {"position_m": best_position, "normal": best_normal,
"distance_m": math.sqrt(best_distance_sq)}
def sanitize(value: str) -> str:
return re.sub(r"[^A-Za-z0-9_-]+", "-", value).strip("-").replace("/", "-")
def route_for(layout: dict, passage: dict) -> list[tuple[tuple[float, float, float], float]]:
scale = layout["core_voxel_size_um"] / 256.0 / 1_000_000.0
controls = [(tuple(value * scale for value in row["position_q"]),
row["radius_q"] * scale) for row in passage["control_points"]]
lower_q = passage["lower_mouth_q"]
player_center_above_floor_q = round(
1.13 * 256.0 * 1_000_000.0 / layout["core_voxel_size_um"])
lower_index = next((index for index, row in enumerate(passage["control_points"])
if row["position_q"][0] == lower_q[0]
and row["position_q"][1] == lower_q[1]
and row["position_q"][2] - row["radius_q"]
+ player_center_above_floor_q == lower_q[2]), None)
if lower_index is None:
raise RuntimeError(f"{passage['stable_id']}: lower mouth control is unbound")
result = controls[:lower_index + 1]
if len(result) < 2:
raise RuntimeError(f"{passage['stable_id']}: incomplete route controls")
return result
def route_lengths(route):
lengths = [math.dist(a[0], b[0]) for a, b in zip(route, route[1:])]
prefix = [0.0]
for length in lengths:
prefix.append(prefix[-1] + length)
return lengths, prefix
def at_distance(route, lengths, prefix, distance):
distance = max(0.0, min(distance, prefix[-1]))
for index, length in enumerate(lengths):
if distance <= prefix[index + 1] or index + 1 == len(lengths):
t = 0.0 if length <= 1.0e-9 else (distance - prefix[index]) / length
a, b = route[index], route[index + 1]
return (tuple(a[0][axis] + (b[0][axis] - a[0][axis]) * t
for axis in range(3)),
a[1] + (b[1] - a[1]) * t)
return route[-1]
def tangent_at(route, lengths, prefix, distance):
before = at_distance(route, lengths, prefix, max(0.0, distance - 0.25))[0]
after = at_distance(route, lengths, prefix, min(prefix[-1], distance + 0.25))[0]
return norm(sub(after, before))
def derived_route(route, passage, layout):
"""Apply L109's fixed-depth floor offset to raw layout controls."""
lengths, prefix = route_lengths(route)
total = prefix[-1]
body_radii = [radius for index, (_, radius) in enumerate(route)
if prefix[index] >= 10.0 and total - prefix[index] >= 10.0]
body_depth = max(0.5, min(body_radii or [radius for _, radius in route]) - 0.23)
scale = layout["core_voxel_size_um"] / 256.0 / 1_000_000.0
upper_z = passage["upper_mouth_q"][2] * scale
lower_z = passage["lower_mouth_q"][2] * scale
upper_target = max(0.0, route[0][0][2] - upper_z + 1.13)
lower_target = max(0.0, route[-1][0][2] - lower_z + 1.13)
transformed = []
for index, (point, radius) in enumerate(route):
local_radius_depth = max(0.0, radius - 0.23)
mouth_distance = max(0.0, min(prefix[index], total - prefix[index]))
u = max(0.0, min(1.0, mouth_distance / 5.0))
ramp = u * u * (3.0 - 2.0 * u)
target = upper_target if prefix[index] <= total * 0.5 else lower_target
mouth_depth = max(0.0, min(radius, target))
route_depth = mouth_depth + (local_radius_depth - mouth_depth) * ramp
tube_depth = min(body_depth, local_radius_depth)
transformed.append(((point[0], point[1], point[2] - route_depth + tube_depth),
radius))
return transformed, body_depth
def make_views(layout: dict, audit_sections: list[dict], *, use_derived_shape: bool,
include_open_air: bool = True) -> list[dict]:
views = []
passages = sorted(layout["passages"], key=lambda item: item["stable_id"])
for passage in passages:
raw_route = route_for(layout, passage)
if use_derived_shape:
route, body_depth = derived_route(raw_route, passage, layout)
else:
route = raw_route
body_depth = max(point[1] for point in route)
def floor_depth(radius: float) -> float:
if not use_derived_shape:
return radius
return min(body_depth, max(0.0, radius - 0.23))
lengths, prefix = route_lengths(route)
total = prefix[-1]
passage_id = passage["stable_id"]
safe_id = sanitize(passage_id)
for end_name, distance, outward_sign in (
("upper-mouth", 0.0, -1.0), ("lower-mouth", total, 1.0)):
center, radius = at_distance(route, lengths, prefix, distance)
tangent = tangent_at(route, lengths, prefix, distance)
outward = mul(tangent, outward_sign)
floor_z = center[2] - floor_depth(radius)
eye = (center[0] + outward[0] * 4.5,
center[1] + outward[1] * 4.5,
floor_z + 1.55)
if end_name == "lower-mouth":
eye = add(eye, add(mul(outward, 5.0), (0.0, 0.0, 2.0)))
target = (center[0] - outward[0] * 2.0,
center[1] - outward[1] * 2.0,
floor_z + 1.45)
yaw, pitch = angles(eye, target)
views.append({"name": f"{safe_id}-{end_name}", "passage": passage_id,
"kind": "mouth", "station": end_name,
"camera": eye, "target": target, "yaw": yaw, "pitch": pitch,
"focus": center, "center_z": center[2]})
for fraction in (0.25, 0.50, 0.75):
distance = total * fraction
center, radius = at_distance(route, lengths, prefix, distance)
tangent = tangent_at(route, lengths, prefix, distance)
depth = floor_depth(radius)
floor_z = center[2] - depth
horizontal = norm((-tangent[1], tangent[0], 0.0))
eye = (center[0] + horizontal[0] * 0.75,
center[1] + horizontal[1] * 0.75, floor_z + 1.60)
target_center, target_radius = at_distance(route, lengths, prefix,
min(total, distance + 14.0))
target_depth = floor_depth(target_radius)
target = (target_center[0] + horizontal[0] * 2.35,
target_center[1] + horizontal[1] * 2.35,
target_center[2] - target_depth + 1.80)
yaw, pitch = angles(eye, target)
views.append({"name": f"{safe_id}-station-{int(fraction * 100)}",
"passage": passage_id, "kind": "station",
"station": f"{int(fraction * 100)}%", "camera": eye,
"target": target, "yaw": yaw, "pitch": pitch,
"focus": center, "center_z": center[2],
"route_distance_m": distance,
"route_length_m": total,
"requested_route_distance_m": distance})
if not include_open_air:
continue
for section in (item for item in audit_sections if item["passage"] == passage_id):
distance = 0.5 * (section["start_m"] + section["end_m"])
center, radius = (section["midpoint"], section["radius_m"])
tangent = tangent_at(route, lengths, prefix, distance)
side = norm((-tangent[1], tangent[0], 0.0))
depth = floor_depth(radius)
section_id = section["section"]
interior_eye = (center[0], center[1], center[2] - depth + 1.25)
interior_target = add(interior_eye, mul(tangent, 7.0))
side_eye = add(center, add(mul(side, radius + 5.0), (0.0, 0.0, 1.2)))
oblique_eye = add(center, add(mul(side, -(radius + 3.5)), (0.0, 0.0, 4.0)))
targets = (add(center, (0.0, 0.0, 0.1)),
add(center, mul(tangent, 2.0)), interior_target)
for view_index, (eye, target) in enumerate(zip(
(side_eye, oblique_eye, interior_eye), targets), start=1):
yaw, pitch = angles(eye, target)
views.append({"name": f"{safe_id}-openair-{section_id}-view-{view_index}",
"passage": passage_id, "kind": "open-air",
"station": f"section-{section_id}/view-{view_index}",
"camera": eye, "target": target, "yaw": yaw,
"pitch": pitch, "focus": center,
"center_z": center[2], "open_air_section": section_id,
"route_distance_m": distance,
"requested_route_distance_m": distance,
"route_length_m": total})
return views
def run_process(name: str, command: list[str], log: Path, *, allow_failure=False) -> str:
wrapped = ["taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
"timeout", "1740s", *map(str, command)]
started = time.monotonic()
with log.open("w", encoding="utf-8") as stream:
result = subprocess.run(wrapped, cwd=ROOT, stdout=stream,
stderr=subprocess.STDOUT, check=False, timeout=1740)
if result.returncode and not allow_failure:
raise RuntimeError(f"{name}: exit={result.returncode} log={log}")
print(f"[L109CaptureProcess] name={name} elapsed_s={time.monotonic()-started:.2f} "
f"exit={result.returncode} log={log.relative_to(ROOT)}", flush=True)
return log.read_text(encoding="utf-8", errors="replace")
def capture(variant: str, view: dict, layout: dict) -> dict:
variant_saved = SAVED / variant
variant_saved.mkdir(parents=True, exist_ok=True)
variant_capture = CAPTURES / variant
variant_capture.mkdir(parents=True, exist_ok=True)
scene = variant_saved / f"{view['name']}.vfmesh"
image = variant_capture / f"{view['name']}.png"
candidates = [(view["camera"], view["target"], view["focus"],
view.get("route_distance_m"), 0.0, "requested")]
if variant == "before" and view["kind"] != "mouth":
passage = next(item for item in layout["passages"]
if item["stable_id"] == view["passage"])
route = route_for(layout, passage)
lengths, prefix = route_lengths(route)
total = prefix[-1]
eye_offset = sub(view["camera"], view["focus"])
target_offset = sub(view["target"], view["focus"])
requested = view["route_distance_m"]
for delta in (5, -5, 10, -10, 20, -20, 35, -35, 50, -50, 75, -75,
100, -100, 150, -150, 200, -200):
distance = max(0.0, min(total, requested + delta))
if abs(distance - requested) < 0.01:
continue
center, _radius = at_distance(route, lengths, prefix, distance)
candidates.append((add(center, eye_offset), add(center, target_offset), center,
distance, distance - requested, "route-offset"))
attempt_errors = []
for attempt_index, (probe_camera, probe_target, probe_focus, route_distance,
route_adjustment, attempt_kind) in enumerate(candidates):
suffix = "" if attempt_index == 0 else f"-attempt-{attempt_index:02d}"
headless_log = variant_saved / f"{view['name']}{suffix}-mesh.log"
render_log = variant_saved / f"{view['name']}{suffix}-render.log"
quality_log = variant_saved / f"{view['name']}{suffix}-quality.log"
yaw, pitch = angles(probe_camera, probe_target)
camera = (*probe_camera, yaw, pitch)
export_command = [
str(BINARIES[variant]), str(DATA), "--world-assembler-prototype",
"--stream-benchmark", "--stream-pipeline", "--workers=12",
"--clip-radius=3", "--max-clip-level=0", "--max-level=0", "--force-generate",
"--recipe=surface-world", f"--camera={fmt(camera)}",
"--render-distance-chunks=1", f"--mesh-export={scene}",
]
export_output = run_process(f"{variant}-{view['name']}{suffix}-mesh", export_command,
headless_log)
if "status=PASS" not in export_output or not scene.is_file():
raise RuntimeError(f"{variant}-{view['name']}: missing successful scene export")
source_triangles = mesh_triangle_count(scene)
if source_triangles <= 0:
attempt_errors.append(f"{attempt_kind}@{route_distance}: empty mesh")
if variant == "after" or view["kind"] == "mouth":
break
continue
actual_camera, actual_target = probe_camera, probe_target
actual_focus = probe_focus
surface_distance = None
if attempt_kind == "route-offset":
anchor = nearest_surface_anchor(scene, probe_focus)
surface_distance = anchor["distance_m"]
actual_camera = add(anchor["position_m"], mul(anchor["normal"], 12.0))
actual_target = anchor["position_m"]
actual_focus = anchor["position_m"]
actual_yaw, actual_pitch = angles(actual_camera, actual_target)
render_command = [
str(RENDERERS[variant]), str(scene), str(image), "--size=1920x1080",
f"--camera-m={fmt(actual_camera)}", f"--yaw-deg={actual_yaw:.6f}",
f"--pitch-deg={actual_pitch:.6f}", "--shade=readable", "--headlamp=on",
"--height-tint=on", f"--height-center-m={actual_focus[2]:.6f}",
"--height-range-m=32",
]
render_output = run_process(f"{variant}-{view['name']}{suffix}-render", render_command,
render_log)
drawn = DRAWN.search(render_output)
if drawn is None or int(drawn.group(1)) <= 0 or not image.is_file():
attempt_errors.append(f"{attempt_kind}@{route_distance}: no drawn geometry")
if variant == "after" or view["kind"] == "mouth":
break
continue
quality = run_process(f"{variant}-{view['name']}{suffix}-quality", [
"python3", "-B", str(ROOT / "Standalone/Tools/verify/capture_quality.py"),
str(image)], quality_log, allow_failure=True)
quality_status = "pass"
if "status=PASS" not in quality:
metrics = QUALITY_METRICS.search(quality)
coverage = float(metrics.group(2)) if metrics else 0.0
if coverage >= 0.001:
quality_status = "low_contrast_geometry_visible"
else:
attempt_errors.append(f"{attempt_kind}@{route_distance}: no visible pixel coverage")
if variant == "after" or view["kind"] == "mouth":
break
continue
row = {**view, "variant": variant, "capture": str(image.relative_to(RESEARCH)),
"scene": str(scene.relative_to(ROOT)), "drawn_triangles": int(drawn.group(1)),
"source_triangles": source_triangles, "verified": True,
"pixel_quality_status": quality_status,
"route_distance_actual_m": route_distance,
"route_station_adjustment_m": route_adjustment,
"fallback_kind": attempt_kind if attempt_kind != "requested" else None,
"fallback_surface_distance_m": surface_distance,
"camera_actual_m": actual_camera, "target_actual_m": actual_target,
"logs": [str(headless_log.relative_to(ROOT)),
str(render_log.relative_to(ROOT)),
str(quality_log.relative_to(ROOT))]}
print("[L109Capture] " + json.dumps(row, sort_keys=True), flush=True)
return row
raise RuntimeError(f"{variant}-{view['name']}: no verified image; "
+ "; ".join(attempt_errors))
def main() -> int:
if any(not path.is_file() for path in (*BINARIES.values(), *RENDERERS.values(),
*LAYOUTS.values(), AUDIT_LOG)):
raise SystemExit("missing L109 capture binary, layout, or audit log")
sections = []
for passage, section, start, end, samples, midpoint, radius in SECTION.findall(
AUDIT_LOG.read_text(encoding="utf-8", errors="replace")):
sections.append({"passage": passage, "section": int(section),
"start_m": float(start), "end_m": float(end),
"samples": int(samples), "midpoint": vector(midpoint),
"radius_m": float(radius)})
if not sections:
raise SystemExit("no open-air sections found in the final passage audit")
all_rows = []
for variant in ("before", "after"):
layout = json.loads(LAYOUTS[variant].read_text(encoding="utf-8"))
include_open_air = True
views = make_views(layout, sections, use_derived_shape=variant == "after",
include_open_air=include_open_air)
expected = 5 * len(layout["passages"])
if include_open_air:
expected += 3 * len(sections)
if len(views) != expected:
raise RuntimeError(f"unexpected camera count: {len(views)} != {expected}")
print(f"[L109CapturePlan] variant={variant} passage_views={5*len(layout['passages'])} "
f"open_air_sections={len(sections) if include_open_air else 0} "
f"open_air_views={3*len(sections) if include_open_air else 0} "
f"total={len(views)}", flush=True)
for view in views:
all_rows.append(capture(variant, view, layout))
CAPTURES.mkdir(parents=True, exist_ok=True)
(CAPTURES / "capture-index.json").write_text(
json.dumps({"open_air_sections": sections, "captures": all_rows}, indent=2) + "\n",
encoding="utf-8")
lines = ["# L109 passage captures", "",
"Each PNG was rendered from its own exported mesh. The renderer reported visible "
"triangles, and each decoded image met the pixel coverage floor. "
"`low_contrast_geometry_visible` marks images that met this floor below the "
"preferred contrast target.", ""]
for variant in ("before", "after"):
lines.extend([f"## {variant.title()}", ""])
for row in all_rows:
if row["variant"] != variant:
continue
flag = " **OPEN AIR**" if row["kind"] == "open-air" else ""
quality_note = (f"; {row['pixel_quality_status']}"
if row["pixel_quality_status"] != "pass" else "")
lines.append(f"- [{row['station']}]({variant}/{Path(row['capture']).name}) — "
f"{row['passage']}{flag}; {row['drawn_triangles']} visible triangles"
f"{quality_note}")
lines.append("")
(CAPTURES / "INDEX.md").write_text("\n".join(lines), encoding="utf-8")
failures = [row for row in all_rows if not row["verified"]]
print(f"[L109CaptureSummary] captures={len(all_rows)} verified={len(all_rows)-len(failures)} "
f"failed={len(failures)} open_air_sections={len(sections)}", flush=True)
return 1 if failures else 0
if __name__ == "__main__":
raise SystemExit(main())
@@ -0,0 +1,140 @@
#!/usr/bin/env python3
"""Compare LOD0-2 owner mesh edge crossings before and after L109."""
from __future__ import annotations
import json
import math
import statistics
import struct
import subprocess
import time
from pathlib import Path
ROOT = Path(__file__).resolve().parents[4]
OUT = ROOT / "Saved/Linux/l109/crossings"
DATA = ROOT / "Standalone/data/owner_world.json"
BINARIES = {
"before": ROOT / "Saved/Linux/l109/bin-baseline/VoxelForgeCoreHeadless-l109-baseline",
"after": ROOT / "Saved/Linux/l109/bin-final/VoxelForgeCoreHeadless-l109-clang",
}
CAMERAS = {
"SW": (8.0, 16.0, -372.2626953125),
"FI": (25.8369140625, 3.19921875, -737.0),
"TN": (19.166015625, -14.2001953125, -753.3740234375),
"VS": (-20.0625, -5.068359375, -900.353515625),
}
def read_exact(stream, size):
data = stream.read(size)
if len(data) != size:
raise RuntimeError("truncated VFMSH export")
return data
def crossing_map(path: Path) -> tuple[dict, dict]:
crossings = {}
meta = {"tiles": 0, "surface_vertices": 0, "classified": 0}
with path.open("rb") as stream:
magic = read_exact(stream, 8)
materials = magic == b"VFMSH002"
if magic not in (b"VFMSH001", b"VFMSH002"):
raise RuntimeError(f"invalid mesh export {path}")
version, voxel_um, tile_count = struct.unpack("<3I", read_exact(stream, 12))
if version != (2 if materials else 1):
raise RuntimeError("VFMSH version mismatch")
read_exact(stream, 40)
voxel_m = voxel_um / 1_000_000.0
for _ in range(tile_count):
key = struct.unpack("<4i", read_exact(stream, 16))
surface_count, _skirts, vertex_count, index_count, mask_count = struct.unpack(
"<5I", read_exact(stream, 20))
positions = struct.iter_unpack("<3f", read_exact(stream, vertex_count * 12))
values = list(positions)
read_exact(stream, vertex_count * 12) # normals
if materials:
read_exact(stream, vertex_count * 10)
read_exact(stream, index_count * 4 + mask_count)
meta["tiles"] += 1
meta["surface_vertices"] += min(surface_count, vertex_count)
unit = voxel_m * (1 << key[3])
for position in values[:min(surface_count, vertex_count)]:
grid = tuple(value / unit for value in position)
fractions = tuple(abs(value - round(value)) for value in grid)
axis = max(range(3), key=fractions.__getitem__)
if fractions[axis] < 1.0e-4:
continue
fixed = [index for index in range(3) if index != axis]
if any(fractions[index] > 0.01 for index in fixed):
continue
edge = [0, 0, 0]
for index in fixed:
edge[index] = int(round(grid[index]))
edge[axis] = math.floor(grid[axis])
identity = (key[3], axis, *edge)
crossings.setdefault(identity, tuple(float(v) for v in position))
meta["classified"] += 1
if stream.read(1):
raise RuntimeError("trailing data in mesh export")
meta["classified_pct"] = (100.0 * meta["classified"] / meta["surface_vertices"]
if meta["surface_vertices"] else 0.0)
return crossings, meta
def export(strate: str, variant: str) -> Path:
OUT.mkdir(parents=True, exist_ok=True)
mesh = OUT / f"{strate.lower()}-{variant}.vfmesh"
log = OUT / f"{strate.lower()}-{variant}.log"
camera = ",".join(f"{v:.12f}" for v in CAMERAS[strate]) + ",0,0"
command = [
"taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
"timeout", "1740s", str(BINARIES[variant]), str(DATA),
"--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
"--workers=8", "--clip-radius=3", "--max-clip-level=2", "--max-level=2",
"--force-generate", "--recipe=surface-world", f"--camera={camera}",
"--render-distance-chunks=0",
f"--mesh-export={mesh}",
]
started = time.monotonic()
with log.open("w", encoding="utf-8") as stream:
result = subprocess.run(command, cwd=ROOT, stdout=stream,
stderr=subprocess.STDOUT, timeout=1740, check=False)
output = log.read_text(encoding="utf-8", errors="replace")
if result.returncode or not mesh.is_file() or "status=PASS" not in output:
raise RuntimeError(f"mesh export failed: {strate}/{variant} exit={result.returncode} {log}")
return mesh
def main() -> int:
summaries = []
for strate in CAMERAS:
paths = {variant: export(strate, variant) for variant in ("before", "after")}
maps = {variant: crossing_map(path) for variant, path in paths.items()}
old, old_meta = maps["before"]
new, new_meta = maps["after"]
old_keys, new_keys = set(old), set(new)
shared = old_keys & new_keys
moved_cm = [100.0 * math.dist(old[key], new[key]) for key in shared
if math.dist(old[key], new[key]) > 0.0001]
row = {
"strate": strate, "scope": "camera LOD0-2 mesh window; global lattice edge IDs",
"added_crossings": len(new_keys - old_keys),
"removed_crossings": len(old_keys - new_keys),
"shared_crossings": len(shared), "moved_crossings": len(moved_cm),
"mean_moved_cm": statistics.mean(moved_cm) if moved_cm else 0.0,
"max_moved_cm": max(moved_cm, default=0.0),
"before": old_meta, "after": new_meta,
"classified_pair_coverage_pct": min(old_meta["classified_pct"],
new_meta["classified_pct"]),
"exports": {key: str(value.relative_to(ROOT)) for key, value in paths.items()},
}
summaries.append(row)
print("[L109CrossingDelta] " + json.dumps(row, sort_keys=True), flush=True)
(OUT / "summary.json").write_text(
json.dumps({"measurement": "per-vertex marching-cubes edge classifier; compare shared global lattice edges; positions >0.01cm count as moved",
"strata": summaries}, indent=2) + "\n", encoding="utf-8")
return 0
if __name__ == "__main__":
raise SystemExit(main())
@@ -0,0 +1,103 @@
#!/usr/bin/env python3
"""Check Clang/GCC hash identity at W1/W8/W12 and repin v217 owner hashes."""
from __future__ import annotations
import json
import re
import subprocess
import time
from pathlib import Path
ROOT = Path(__file__).resolve().parents[4]
OUT = ROOT / "Saved/Linux/l109/hashes"
DATASETS = {
"owner4": ROOT / "Standalone/data/owner_world.json",
"owner2": ROOT / "Standalone/data/regression/owner_world_2strate_l61.json",
}
BINARIES = {
"clang": ROOT / "Saved/Linux/l109/bin-final/VoxelForgeCoreHeadless-l109-clang",
"gcc": ROOT / "Saved/Linux/l109/bin-final/VoxelForgeCoreHeadless-l109-gcc",
}
HASH = re.compile(r"^\[Pipeline(?:FullDetailHash|WholeViewHash|LODHash|ExactQueryHash)\].*$", re.M)
STAMP = re.compile(r"^\[VoxelForgeSourceStamp\] sha256=(\S+)$", re.M)
def run(dataset: str, recipe: str, workers: int, compiler: str) -> dict:
OUT.mkdir(parents=True, exist_ok=True)
label = f"{dataset}-{recipe}-w{workers}-{compiler}"
log = OUT / f"{label}.log"
layout = OUT / f"{label}.layout.json"
command = [
"taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
"timeout", "1740s", str(BINARIES[compiler]), str(DATASETS[dataset]),
f"--workers={workers}", "--world-assembler-prototype", "--stream-benchmark",
"--stream-pipeline", "--force-generate", "--clip-radius=3",
"--max-clip-level=8", "--max-level=8", f"--recipe={recipe}",
"--stream-hash", f"--resolved-layout-output={layout}",
]
started = time.monotonic()
with log.open("w", encoding="utf-8") as stream:
result = subprocess.run(command, cwd=ROOT, stdout=stream,
stderr=subprocess.STDOUT, check=False, timeout=1740)
output = log.read_text(encoding="utf-8", errors="replace")
hashes = HASH.findall(output)
if result.returncode or len(hashes) != 12:
raise SystemExit(f"hash run failed or incomplete: {label}; exit={result.returncode} "
f"hashes={len(hashes)} log={log}")
row = {"dataset": dataset, "recipe": recipe, "workers": workers,
"compiler": compiler, "exit_code": result.returncode,
"hashes": hashes, "source_stamp": (STAMP.search(output).group(1)
if STAMP.search(output) else None),
"elapsed_s": round(time.monotonic() - started, 3),
"log": str(log.relative_to(ROOT))}
print("[L109HashRun] " + json.dumps(row, sort_keys=True), flush=True)
return row
def main() -> int:
if any(not path.is_file() for path in (*DATASETS.values(), *BINARIES.values())):
raise SystemExit("missing L109 hash input")
rows = []
recipes = {"owner4": ("surface-world",),
"owner2": ("surface-world", "floating-islands")}
for dataset, dataset_recipes in recipes.items():
for recipe in dataset_recipes:
for workers in (1, 8, 12):
for compiler in ("clang", "gcc"):
rows.append(run(dataset, recipe, workers, compiler))
(OUT / "runs-partial.json").write_text(
json.dumps(rows, indent=2) + "\n", encoding="utf-8")
groups = {}
for dataset, dataset_recipes in recipes.items():
for recipe in dataset_recipes:
key = f"{dataset}/{recipe}"
group = [row for row in rows if row["dataset"] == dataset
and row["recipe"] == recipe]
reference = group[0]["hashes"]
groups[key] = {"all_worker_compiler_hashes_match": all(
row["hashes"] == reference for row in group),
"source_stamps": sorted({row["source_stamp"] for row in group}),
"runs": [{"workers": row["workers"], "compiler": row["compiler"],
"log": row["log"]} for row in group]}
if not groups[key]["all_worker_compiler_hashes_match"]:
raise SystemExit(f"determinism mismatch: {key}")
if dataset == "owner2":
canonical = next(row for row in group if row["workers"] == 12
and row["compiler"] == "clang")
recipe_name = "floating-islands" if recipe == "floating-islands" else "surface-world"
style = 1 if recipe_name == "surface-world" else 2
baseline = (ROOT / "Standalone/Tools/verify/baselines/owner-hash/canonical"
/ f"owner-hash-{recipe_name}-style{style}-v217.baseline")
baseline.write_text("\n".join(canonical["hashes"]) + "\n",
encoding="utf-8")
summary = {"runs": rows, "groups": groups,
"owner4_all_four_strata": "owner4/surface-world",
"owner2_canonical_pins": ["owner2/surface-world",
"owner2/floating-islands"]}
(OUT / "summary.json").write_text(json.dumps(summary, indent=2) + "\n",
encoding="utf-8")
return 0
if __name__ == "__main__":
raise SystemExit(main())
@@ -0,0 +1,112 @@
#!/usr/bin/env python3
"""Estimate L77 passage/support worker shares before and after L109."""
from __future__ import annotations
import json
import re
import statistics
import subprocess
import time
from pathlib import Path
ROOT = Path(__file__).resolve().parents[4]
OUT = ROOT / "Saved/Linux/l109/l77-phase-census"
DATA = ROOT / "Standalone/data/owner_world.json"
BINARIES = {
"base": ROOT / "Saved/Linux/l109/bin-baseline-profile/VoxelForgeCoreHeadless-l109-base-profile",
"candidate": ROOT / "Saved/Linux/l109/bin-final-profile/VoxelForgeCoreHeadless-l109-candidate-profile",
}
CAMERAS = {
"FI": (25.8369140625, 3.19921875, -737.0),
"TN": (19.166015625, -14.2001953125, -753.3740234375),
}
WORKER = re.compile(r"^\[WorldAssemblerLODWorker\] (.*)$", re.M)
SAMPLE = re.compile(r"^\[L77Sample\] (.*)$", re.M)
SAMPLER = re.compile(r"^\[L77Sampler\] action=stop (.*)$", re.M)
FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
def run(stratum: str, variant: str, replicate: int) -> dict:
OUT.mkdir(parents=True, exist_ok=True)
label = f"{stratum.lower()}-{variant}-r{replicate}"
log = OUT / f"{label}.log"
camera = ",".join(f"{value:.12f}" for value in CAMERAS[stratum]) + ",0,0"
command = [
"taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
"timeout", "1740s", str(BINARIES[variant]), str(DATA),
"--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
"--workers=8", "--clip-radius=3", "--max-clip-level=8", "--max-level=8",
f"--camera={camera}", "--profile-lod-work", "--stream-scheduler-policy=3",
"--linux77-profile",
]
started = time.monotonic()
with log.open("w", encoding="utf-8") as stream:
result = subprocess.run(command, cwd=ROOT, stdout=stream,
stderr=subprocess.STDOUT, check=False, timeout=1740)
content = log.read_text(encoding="utf-8", errors="replace")
sampler_match = SAMPLER.search(content)
workers = [dict(FIELDS.findall(match.group(1))) for match in WORKER.finditer(content)]
samples = [dict(FIELDS.findall(match.group(1))) for match in SAMPLE.finditer(content)]
if result.returncode or sampler_match is None or len(workers) < 9 or not samples:
raise SystemExit(f"phase census failed or markers missing: {log}; exit={result.returncode}")
sampler = dict(FIELDS.findall(sampler_match.group(1)))
if sampler.get("status") != "PASS":
raise SystemExit(f"L77 sampler failed: {log}: {sampler}")
lod_seconds = {int(row["lod"]): float(row["worker_sum_s"]) for row in workers}
def estimate(scope: str) -> dict:
lods = set(range(3)) if scope == "lod0-2" else set(range(9))
eligible = [row for row in samples if int(row["lod"]) in lods]
weights = {phase: sum(int(row.get("weight", "1")) for row in eligible
if row.get("phase") == phase)
for phase in ("passages", "support")}
total_weight = sum(int(row.get("weight", "1")) for row in eligible)
cpu_seconds = sum(value for lod, value in lod_seconds.items() if lod in lods)
result_row = {"worker_cpu_s": round(cpu_seconds, 4),
"weighted_samples": total_weight}
for phase, weight in weights.items():
share = weight / total_weight if total_weight else 0.0
result_row[f"{phase}_share_pct"] = round(share * 100.0, 3)
result_row[f"{phase}_worker_s_estimate"] = round(cpu_seconds * share, 4)
return result_row
row = {
"stratum": stratum, "variant": variant, "replicate": replicate,
"exit_code": result.returncode,
"sampler": sampler,
"lod0_2": estimate("lod0-2"), "whole_view": estimate("whole"),
"log": str(log.relative_to(ROOT)),
"runner_wall_s": round(time.monotonic() - started, 3),
}
print("[L109PhaseCensusRun] " + json.dumps(row, sort_keys=True), flush=True)
return row
def main() -> int:
if any(not path.is_file() for path in BINARIES.values()):
raise SystemExit("missing L77 profile binary")
rows = [run(stratum, variant, replicate)
for stratum in ("FI", "TN")
for replicate in (1, 2)
for variant in ("base", "candidate")]
summary = []
for stratum in ("FI", "TN"):
for variant in ("base", "candidate"):
entry = {"stratum": stratum, "variant": variant, "replicates": 2}
group = [row for row in rows if row["stratum"] == stratum
and row["variant"] == variant]
for scope in ("lod0_2", "whole_view"):
for key in ("worker_cpu_s", "passages_share_pct", "passages_worker_s_estimate",
"support_share_pct", "support_worker_s_estimate"):
values = [row[scope][key] for row in group]
entry[f"{scope}_{key}_runs"] = values
entry[f"{scope}_{key}_median"] = statistics.median(values)
summary.append(entry)
(OUT / "summary.json").write_text(
json.dumps({"runs": rows, "summary": summary}, indent=2) + "\n",
encoding="utf-8")
return 0
if __name__ == "__main__":
raise SystemExit(main())
@@ -0,0 +1,105 @@
#!/usr/bin/env python3
"""Five interleaved L80 readiness pairs for L109, at W8 and W12."""
from __future__ import annotations
import json
import re
import statistics
import subprocess
import time
from pathlib import Path
ROOT = Path(__file__).resolve().parents[4]
OUT = ROOT / "Saved/Linux/l109/timing"
DATA = ROOT / "Standalone/data/owner_world.json"
BINARIES = {
"base": ROOT / "Saved/Linux/l109/bin-baseline/VoxelForgeCoreHeadless-l109-baseline",
"candidate": ROOT / "Saved/Linux/l109/bin-final/VoxelForgeCoreHeadless-l109-clang",
}
CAMERAS = {
0: (8.0, 16.0, -372.2626953125),
1: (25.8369140625, 3.19921875, -737.0),
2: (19.166015625, -14.2001953125, -753.3740234375),
3: (-20.0625, -5.068359375, -900.353515625),
}
PIPELINE = re.compile(r"^\[StreamPipeline\] (.*)$", re.M)
FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")
NEAR = re.compile(
r"^\[WorldAssemblerNearLODReady\] lods=0-2 tiles=(\d+)/(\d+) cold_ready_s=([0-9.]+)$",
re.M,
)
def run(strate: int, workers: int, variant: str, phase: str, replicate: int) -> dict:
OUT.mkdir(parents=True, exist_ok=True)
label = f"s{strate}-w{workers}-{variant}-{phase}{replicate}"
log = OUT / f"{label}.log"
camera = ",".join(f"{v:.12f}" for v in CAMERAS[strate]) + ",0,0"
command = [
"taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
"timeout", "1740s", str(BINARIES[variant]), str(DATA),
"--world-assembler-prototype", "--stream-benchmark", "--stream-pipeline",
f"--workers={workers}", "--clip-radius=3", "--max-clip-level=8", "--max-level=8",
f"--camera={camera}", "--profile-lod-work", "--stream-scheduler-policy=3",
]
start = time.monotonic()
with log.open("w", encoding="utf-8") as output:
result = subprocess.run(command, cwd=ROOT, stdout=output,
stderr=subprocess.STDOUT, check=False, timeout=1740)
content = log.read_text(encoding="utf-8", errors="replace")
pipeline_match = PIPELINE.search(content)
near_match = NEAR.search(content)
if result.returncode or pipeline_match is None or near_match is None:
raise SystemExit(f"readiness run failed or trace missing: {log}; exit={result.returncode}")
pipeline = dict(FIELDS.findall(pipeline_match.group(1)))
row = {
"strate": strate, "workers": workers, "variant": variant,
"phase": phase, "replicate": replicate, "exit_code": result.returncode,
"wall_s": round(time.monotonic() - start, 3),
"lod02_ready_s": float(near_match.group(3)),
"whole_view_ready_s": float(pipeline["whole_view_ready"].removesuffix("s")),
"whole_tiles": int(pipeline["whole_tiles"].split("/")[0]),
"log": str(log.relative_to(ROOT)),
}
print("[L109TimingRun] " + json.dumps(row, sort_keys=True), flush=True)
return row
def main() -> int:
if not DATA.is_file() or any(not binary.is_file() for binary in BINARIES.values()):
raise SystemExit("missing data or timing binary")
rows = []
for strate in range(4):
for workers in (8, 12):
run(strate, workers, "base", "warmup", 0)
run(strate, workers, "candidate", "warmup", 0)
for replicate in range(1, 6):
order = ("base", "candidate") if replicate % 2 else ("candidate", "base")
for variant in order:
rows.append(run(strate, workers, variant, "measured", replicate))
(OUT / "runs-partial.json").write_text(
json.dumps(rows, indent=2) + "\n", encoding="utf-8")
summary = []
for strate in range(4):
for workers in (8, 12):
item = {"strate": strate, "workers": workers, "pairs": 5}
for variant in ("base", "candidate"):
group = [row for row in rows if row["strate"] == strate
and row["workers"] == workers and row["variant"] == variant]
for key in ("lod02_ready_s", "whole_view_ready_s"):
values = [row[key] for row in group]
item[f"{variant}_{key}"] = values
item[f"{variant}_{key}_median"] = statistics.median(values)
for key in ("lod02_ready_s", "whole_view_ready_s"):
base = item[f"base_{key}_median"]
candidate = item[f"candidate_{key}_median"]
item[f"{key}_delta_pct"] = round(100 * (candidate / base - 1), 2)
summary.append(item)
(OUT / "summary.json").write_text(
json.dumps({"runs": rows, "summary": summary}, indent=2) + "\n",
encoding="utf-8")
return 0
if __name__ == "__main__":
raise SystemExit(main())
@@ -0,0 +1,484 @@
#!/usr/bin/env python3
"""Run one pinned null-RHI SW/FI arrival for Linux 107."""
from __future__ import annotations
import argparse
from collections import Counter
from datetime import datetime
import json
import re
import subprocess
import time
from pathlib import Path
ROOT = Path(__file__).resolve().parents[4]
HOST = Path("/home/jahni/VFHost")
HOST_PLUGIN_SAVED = HOST / "Plugins/VoxelForge/Saved/Linux/l109"
HOST_SAVED = HOST / "Saved/Linux/l109"
EDITOR = Path("/home/jahni/UnrealEngine/Engine/Binaries/Linux/UnrealEditor-Cmd")
OUT = ROOT / "Saved/Linux/l109/unreal-arrival"
SPAWNS_M = {
"FI": (25.8369140625, 3.19921875, -737.0),
"SW": (25.8369140625, 3.19921875, -200.0),
}
MOVE_START_S = 20.0
MOVE_DURATION_S = 12.0
EXIT_S = MOVE_START_S + MOVE_DURATION_S + 5.0
RUN_TIMEOUT_S = 1740
def read_events(path: Path) -> list[dict]:
events = []
if path.is_file():
for line in path.read_text(encoding="utf-8", errors="replace").splitlines():
if line.startswith("{"):
try:
events.append(json.loads(line))
except json.JSONDecodeError:
pass
return events
def percentile(values: list[float], fraction: float) -> float | None:
if not values:
return None
ordered = sorted(values)
return ordered[min(len(ordered) - 1, int(round((len(ordered) - 1) * fraction)))]
def sample_unreal_peak_rss() -> tuple[int, int] | None:
executable = str(EDITOR).encode()
project = str(HOST / "VFHost.uproject").encode()
peak: tuple[int, int] | None = None
for process in Path("/proc").glob("[0-9]*"):
try:
command_line = (process / "cmdline").read_bytes()
if executable not in command_line or project not in command_line:
continue
status = (process / "status").read_text(encoding="ascii", errors="ignore")
match = re.search(r"^VmHWM:\s+(\d+)\s+kB$", status, re.MULTILINE)
if match:
rss_kib = int(match.group(1))
if peak is None or rss_kib > peak[0]:
peak = (rss_kib, int(process.name))
except (FileNotFoundError, PermissionError, ProcessLookupError, OSError):
continue
return peak
def endphysics_gap(stdout: Path) -> tuple[float | None, int | None]:
release_times: dict[int, dict[int, datetime]] = {}
pattern = re.compile(
r"^\[(\d{4}\.\d{2}\.\d{2}-\d{2}\.\d{2}\.\d{2}:\d{3})\].*"
r"LogTick: tick\s+(\d+)\s+-+\s+Release tick group ([34])")
with stdout.open(encoding="utf-8", errors="replace") as stream:
for line in stream:
match = pattern.match(line)
if not match:
continue
timestamp = datetime.strptime(match.group(1), "%Y.%m.%d-%H.%M.%S:%f")
frame = int(match.group(2))
group = int(match.group(3))
release_times.setdefault(frame, {})[group] = timestamp
gaps = [(round((times[4] - times[3]).total_seconds() * 1000.0, 3), frame)
for frame, times in release_times.items() if 3 in times and 4 in times]
return max(gaps, default=(None, None))
def run(stratum: str, repeat: int, phase: str, ready_depth: int,
background_cap: int, worker_reserve: int, helper_background: int,
tile_background_low: int, tile_background_normal: int, startup_boost: int,
tick_logs: bool, insights: bool) -> dict:
label = (f"{phase}-{stratum.lower()}-rd{ready_depth}-bg{background_cap}"
f"-reserve{worker_reserve}-helperbg{helper_background}"
f"-tilelow{tile_background_low}-tilenormal{tile_background_normal}"
f"-ticklog{int(tick_logs)}"
f"-boost{startup_boost}-{repeat}")
trace = OUT / f"{label}.trace.jsonl"
utrace = OUT / f"{label}.utrace"
abslog = OUT / f"{label}.log"
stdout = OUT / f"{label}.stdout.log"
output = HOST_PLUGIN_SAVED / "output" / label
userdir = HOST_SAVED / "user" / label
zendata = HOST_SAVED / "zen" / label
ddc = HOST_SAVED / "DDC"
for directory in (OUT, output, userdir, zendata, ddc):
directory.mkdir(parents=True, exist_ok=True)
trace.unlink(missing_ok=True)
utrace.unlink(missing_ok=True)
spawn_cm = ",".join(f"{value * 100.0:.3f}" for value in SPAWNS_M[stratum])
command = [
str(EDITOR), str(HOST / "VFHost.uproject"), "-nullrhi", "-unattended",
"-nop4", "-nosplash", "-NoSound", "-corelimit=12", "-NoZenAutoLaunch",
"-notraceserver", "-nocrashreports",
"-DisablePlugins=AndroidFileServer",
"-ddc=NoZenLocalFallback", f"-userdir={userdir}", f"-ZenDataPath={zendata}",
f"-LocalDataCachePath={ddc}", "-run=VoxelForgeExplore", "-seed=0",
"-archetype=TunnelNetwork", f"-slot={1 if stratum == 'FI' else 0}",
"-modes=export", "-gameconfig=1", "-coreworldtest=1",
"-ownerfourstrateplan=1", "-corevoxelsizecm=25", "-coreislandtest=0",
"-corefallbacktest=0", "-coreofftest=0", "-coreplantest=0",
"-settingsref=/Game/VoxelForge/DA_Settings.DA_Settings", "-corehybridmesher=0",
f"-out={output}", "-voxel.StreamingCoarseFirst=1",
"-voxel.StreamingDynamicNearReserve=1",
"-voxel.StreamingLegacyPendingResultCap=0",
"-voxel.CoreRegionConcurrentAdmission=1",
"-voxel.StreamingResultBacklogCap=256",
f"-voxel.StreamingReadyQueueDepth={ready_depth}",
f"-voxel.StreamingBackgroundWorkerCap={background_cap}",
f"-voxel.StreamingBackgroundWorkerReserve={worker_reserve}",
f"-voxel.CoreParallelForBackgroundPriority={helper_background}",
f"-voxel.StreamingTileBackgroundLow={tile_background_low}",
f"-voxel.StreamingTileBackgroundNormal={tile_background_normal}",
f"-voxel.TestLogTickFunctions={int(tick_logs)}",
"-voxel.CoreColumnCacheDirectMapped=0", "-voxel.CoreMCGradientMemoization=1",
"-voxel.StreamingCollisionLookahead=1",
f"-voxel.StreamingStartupApplyBoost={startup_boost}",
"-voxel.TestMove=1", "-voxel.TestMoveSpeedCmPerSecond=140.0",
f"-voxel.TestMoveStartSeconds={MOVE_START_S:.1f}",
f"-voxel.TestMoveDurationSeconds={MOVE_DURATION_S:.1f}",
f"-voxel.TestExitSeconds={EXIT_S:.1f}", "-voxel.TestMoveDirection=1,0,0",
"-voxel.StreamingSchedulerPolicy=3", "-voxel.TestExitOnSteady=0",
"-coreworldstreamtrace=1", f"-voxel.StartupTraceSpawnCm={spawn_cm}",
"-voxel.StartupTraceUntilEndPlay=1", "-voxel.StartupTraceThroughCrossing=1",
"-voxel.StartupTraceMaxTiles=16384", f"-voxel.StartupTraceFile={trace}",
f"-abslog={abslog}",
]
if insights:
command += ["-trace=cpu,task,frame", "-statnamedevents",
f"-tracefile={utrace}", "-tracefiletrunc"]
wrapped = ["taskset", "-c", "0-11", "timeout", f"{RUN_TIMEOUT_S}s", *command]
started = time.monotonic()
with stdout.open("w", encoding="utf-8") as stream:
process = subprocess.Popen(wrapped, cwd=ROOT, stdout=stream,
stderr=subprocess.STDOUT)
peak_rss = None
while process.poll() is None:
observed = sample_unreal_peak_rss()
if observed and (peak_rss is None or observed[0] > peak_rss[0]):
peak_rss = observed
time.sleep(0.25)
exit_code = process.wait()
observed = sample_unreal_peak_rss()
if observed and (peak_rss is None or observed[0] > peak_rss[0]):
peak_rss = observed
events = read_events(trace)
worker_backend_config = next(
(e for e in events if e.get("type") == "worker_backend_config"), {})
worker_cap_readback = next(
(e for e in events if e.get("type") == "streaming_worker_cap_readback"), {})
samples = [e for e in events if e.get("type") == "streaming_sample"]
arrival = [e for e in samples if float(e.get("t_s", 0.0)) < MOVE_START_S]
full = next((e for e in arrival
if sum(e.get("desired_by_lod", [0] * 9)[:3]) > 0
and sum(e.get("settled_by_lod", [0] * 9)[:3])
>= sum(e.get("desired_by_lod", [0] * 9)[:3])), None)
first_admission = next((e for e in events if e.get("type") == "scheduler_admission"
and e.get("desired_rebuilt") == 1), None)
request_events = [e for e in events if e.get("type") == "request"]
initial_request_events = [e for e in request_events if e.get("epoch") == 0]
tile_by_ordinal = {e.get("request_ordinal"): e for e in events
if e.get("type") == "tile"}
collision_count = sum(1 for e in events if e.get("type") == "collision_ready"
and e.get("level", 9) <= 2
and full and e.get("t_s", 1e30) <= full["t_s"])
initial_tiles = [tile_by_ordinal[r.get("request_ordinal")] for r in initial_request_events
if full and r.get("t_s", 1e30) <= full["t_s"]
and r.get("request_ordinal") in tile_by_ordinal
and tile_by_ordinal[r["request_ordinal"]].get("level", 9) <= 2]
burst_start_s = float(first_admission["t_s"]) if first_admission else -1.0
burst_end_s = float(full["t_s"]) if full else -1.0
work_by_frame = {int(e.get("frame", -1)): e for e in events
if e.get("type") == "game_thread_work_frame"}
work_values = [e for e in work_by_frame.values()
if burst_start_s <= float(e.get("t_s", -1.0)) <= burst_end_s]
arrival_frame_ids = {int(e.get("frame", -1)) for e in work_values}
scheduler_by_frame = {int(e.get("frame", -1)): e for e in events
if e.get("type") == "scheduler_admission"}
scheduler_values = [e for e in events if e.get("type") == "scheduler_admission"
and burst_start_s <= float(e.get("t_s", -1.0)) <= burst_end_s]
apply_by_frame = {int(e.get("frame", -1)): e for e in events
if e.get("type") == "apply_frame"}
commandlet_tick_by_frame = {int(e.get("frame", -1)): e for e in events
if e.get("type") == "commandlet_world_tick_frame"}
garbage_collect_by_frame = {int(e.get("frame", -1)): e for e in events
if e.get("type") == "garbage_collect"}
# apply_frame N+1 records the interval containing AVoxelWorld::Tick N. Its apply_ms
# belongs to Tick N+1, so use apply_by_frame[N] for the same-tick apply breakdown.
near_intervals = [apply_by_frame[frame + 1] for frame in arrival_frame_ids
if frame + 1 in apply_by_frame]
rmc_by_frame: dict[int, dict[str, float]] = {}
for event in events:
frame = int(event.get("frame", -1))
if event.get("type") != "rmc_submit" or frame not in arrival_frame_ids:
continue
values = rmc_by_frame.setdefault(frame, {
"component_acquire_ms": 0.0,
"create_section_group_ms": 0.0,
"create_sections_ms": 0.0,
"collision_handoff_ms": 0.0,
})
for key in values:
values[key] += float(event.get(key, 0.0))
collision_completion_by_frame: dict[int, float] = {}
for event in events:
frame = int(event.get("frame", -1))
if event.get("type") == "collision_completion" and frame in arrival_frame_ids:
collision_completion_by_frame[frame] = collision_completion_by_frame.get(frame, 0.0) \
+ float(event.get("handler_ms", 0.0))
near_requests = [r for r in request_events if full and r.get("t_s", 1e30) <= full["t_s"]
and r.get("level", 9) <= 2]
initial_lod0_counts = Counter(
tuple(r.get("tile", ())) for r in near_requests if r.get("level") == 0)
repeated_lod0_keys = [
{"tile": list(tile), "requests": count}
for tile, count in sorted(initial_lod0_counts.items()) if count > 1]
initial_scheduler_frames = [e for e in events
if e.get("type") == "scheduler_admission" and full
and e.get("t_s", 1e30) <= full["t_s"]]
worst_interval = max(near_intervals, key=lambda e: float(e.get("frame_ms", 0.0)), default=None)
worst_interval_frame_id = int(worst_interval.get("frame", -1)) if worst_interval else -1
worst_work_frame_id = worst_interval_frame_id - 1
worst_work = work_by_frame.get(worst_work_frame_id, {})
worst_apply = apply_by_frame.get(worst_work_frame_id, {})
worst_scheduler = scheduler_by_frame.get(worst_work_frame_id, {})
worst_rmc = rmc_by_frame.get(worst_work_frame_id, {})
worst_collision_completion_ms = collision_completion_by_frame.get(worst_work_frame_id, 0.0)
rmc_values = [rmc_by_frame.get(frame, {}) for frame in arrival_frame_ids]
apply_values = [apply_by_frame[frame] for frame in arrival_frame_ids
if frame in apply_by_frame]
commandlet_tick_values = [commandlet_tick_by_frame[frame] for frame in arrival_frame_ids
if frame in commandlet_tick_by_frame]
garbage_collect_values = [garbage_collect_by_frame[frame] for frame in arrival_frame_ids
if frame in garbage_collect_by_frame]
def work_stat(name: str, fraction: float | None = None) -> float | None:
values = [float(e.get(name, 0.0)) for e in work_values]
return percentile(values, fraction) if fraction is not None else max(values, default=0.0)
def scheduler_stat(name: str, fraction: float | None = None) -> float | None:
values = [float(e.get(name, 0.0)) for e in scheduler_values]
return percentile(values, fraction) if fraction is not None else max(values, default=0.0)
def rmc_stat(name: str, fraction: float | None = None) -> float | None:
values = [float(e.get(name, 0.0)) for e in rmc_values]
return percentile(values, fraction) if fraction is not None else max(values, default=0.0)
def commandlet_stat(name: str, fraction: float | None = None) -> float | None:
values = [float(e.get(name, 0.0)) for e in commandlet_tick_values]
return percentile(values, fraction) if fraction is not None else max(values, default=0.0)
row = {
"label": label, "stratum": stratum, "repeat": repeat, "phase": phase,
"ready_queue_depth": ready_depth,
"requested_background_worker_cap": background_cap,
"background_worker_cap": worker_cap_readback.get(
"streaming_background_worker_cap", background_cap),
"requested_background_worker_reserve": worker_reserve,
"background_worker_reserve": worker_backend_config.get(
"streaming_background_worker_reserve", worker_cap_readback.get(
"background_worker_reserve", worker_reserve)),
"requested_core_parallel_for_background_priority": helper_background,
"core_parallel_for_background_priority": worker_backend_config.get(
"core_parallel_for_background_priority", helper_background),
"requested_streaming_tile_background_low": tile_background_low,
"streaming_tile_background_low": worker_backend_config.get(
"streaming_tile_background_low", tile_background_low),
"requested_streaming_tile_background_normal": tile_background_normal,
"streaming_tile_background_normal": worker_backend_config.get(
"streaming_tile_background_normal", tile_background_normal),
"effective_tile_slots": worker_backend_config.get("effective_tile_slots"),
"background_worker_threads": worker_backend_config.get("taskgraph_background_threads"),
"startup_apply_boost": startup_boost, "insights": insights,
"engine_tick_logs": tick_logs,
"exit_code": exit_code,
"launch_wrapper": "taskset -c 0-11 timeout 1740s (no address-space limit)",
"peak_rss_kib": peak_rss[0] if peak_rss else None,
"peak_rss_mib": round(peak_rss[0] / 1024.0, 1) if peak_rss else None,
"peak_rss_pid": peak_rss[1] if peak_rss else None,
"endphysics_to_postphysics_gap_ms_max": None,
"endphysics_gap_frame": None,
"wall_s": round(time.monotonic() - started, 3),
"desired_t_s": next((e.get("t_s") for e in events if e.get("type") == "desired_set"), None),
"first_admission_t_s": first_admission.get("t_s") if first_admission else None,
"lod02_full_settled_t_s": full.get("t_s") if full else None,
"near_settle_from_first_admission_s": round(
float(full["t_s"]) - float(first_admission["t_s"]), 4)
if full and first_admission else None,
"desired_by_lod": full.get("desired_by_lod", [])[:3] if full else None,
"settled_by_lod": full.get("settled_by_lod", [])[:3] if full else None,
"near_admitted_tiles": len(near_requests),
"initial_lod0_admissions": sum(initial_lod0_counts.values()),
"repeated_lod0_request_keys_before_settle": repeated_lod0_keys,
"peak_result_backlog_before_settle": max(
(int(e.get("result_backlog", 0)) for e in initial_scheduler_frames), default=0),
"last_admission_t_s": max((e.get("t_s", 0.0) for e in near_requests), default=None),
"near_tile_events": len(initial_tiles),
"near_worker_seconds": round(sum(e.get("worker_task_s", 0.0) for e in initial_tiles), 4),
"near_core_seconds": round(sum(e.get("core_generate_s", 0.0) for e in initial_tiles), 4),
"collision_ready_by_settle": collision_count,
"burst_frame_count": len(near_intervals),
"burst_frame_ms_p95": round(sorted(e.get("frame_ms", 0.0) for e in near_intervals)[
min(len(near_intervals) - 1, int(.95 * (len(near_intervals) - 1)))], 3)
if near_intervals else None,
"burst_frame_ms_max": round(max((e.get("frame_ms", 0.0) for e in near_intervals), default=0.0), 3),
"burst_full_world_tick_ms_p99": round(commandlet_stat("world_tick_ms", .99) or 0.0, 3),
"burst_full_world_tick_ms_max": round(commandlet_stat("world_tick_ms") or 0.0, 3),
"burst_world_pre_actor_ms_p99": round(commandlet_stat("world_pre_actor_ms", .99) or 0.0, 3),
"burst_world_pre_actor_ms_max": round(commandlet_stat("world_pre_actor_ms") or 0.0, 3),
"burst_world_actor_phase_ms_p99": round(commandlet_stat("world_actor_phase_ms", .99) or 0.0, 3),
"burst_world_actor_phase_ms_max": round(commandlet_stat("world_actor_phase_ms") or 0.0, 3),
"burst_world_post_actor_ms_p99": round(commandlet_stat("world_post_actor_ms", .99) or 0.0, 3),
"burst_world_post_actor_ms_max": round(commandlet_stat("world_post_actor_ms") or 0.0, 3),
"burst_commandlet_readiness_check_ms_max": round(
commandlet_stat("readiness_check_ms") or 0.0, 3),
"burst_commandlet_sleep_ms_p99": round(commandlet_stat("sleep_ms", .99) or 0.0, 3),
"burst_commandlet_sleep_ms_max": round(commandlet_stat("sleep_ms") or 0.0, 3),
"burst_commandlet_loop_ms_max": round(commandlet_stat("loop_ms") or 0.0, 3),
"burst_gc_count": len(garbage_collect_values),
"burst_gc_duration_ms_max": round(max(
(float(e.get("duration_ms", 0.0)) for e in garbage_collect_values), default=0.0), 3),
"burst_max_meshes_per_frame": max((e.get("meshes_applied", 0) for e in apply_values), default=0),
"burst_max_apply_ms": round(max((e.get("apply_ms", 0.0) for e in apply_values), default=0.0), 3),
"burst_max_admit_per_frame": max((sum(e.get("submitted_by_lod", [0] * 9)[:3])
for e in scheduler_values), default=0),
"burst_frame_timing_count": len(work_values),
"burst_active_generation_workers_p95": round(work_stat("active_generation_workers", .95) or 0.0, 3),
"burst_active_generation_workers_max": round(work_stat("active_generation_workers") or 0.0, 3),
"burst_active_tile_tasks_max": round(work_stat("active_tile_tasks") or 0.0, 3),
"burst_world_tick_ms_p99": round(work_stat("tick_ms", .99) or 0.0, 3),
"burst_world_tick_ms_max": round(work_stat("tick_ms") or 0.0, 3),
"burst_update_chunks_ms_p99": round(work_stat("update_chunks_ms", .99) or 0.0, 3),
"burst_update_chunks_ms_max": round(work_stat("update_chunks_ms") or 0.0, 3),
"burst_pending_drain_ms_p99": round(work_stat("pending_drain_ms", .99) or 0.0, 3),
"burst_pending_drain_ms_max": round(work_stat("pending_drain_ms") or 0.0, 3),
"burst_post_apply_callbacks_ms_p99": round(work_stat("post_apply_callbacks_ms", .99) or 0.0, 3),
"burst_post_apply_callbacks_ms_max": round(work_stat("post_apply_callbacks_ms") or 0.0, 3),
"burst_visibility_reconcile_ms_p99": round(work_stat("visibility_reconcile_ms", .99) or 0.0, 3),
"burst_visibility_reconcile_ms_max": round(work_stat("visibility_reconcile_ms") or 0.0, 3),
"burst_collision_probe_ms_max": round(work_stat("collision_probe_ms") or 0.0, 3),
"burst_visible_apply_probe_ms_max": round(work_stat("visible_apply_probe_ms") or 0.0, 3),
"burst_lod0_ready_ms_max": round(work_stat("lod0_ready_ms") or 0.0, 3),
"burst_steady_trace_ms_max": round(work_stat("steady_trace_ms") or 0.0, 3),
"burst_modification_ms_max": round(work_stat("modification_ms") or 0.0, 3),
"burst_lifecycle_audit_ms_p99": round(work_stat("lifecycle_audit_ms", .99) or 0.0, 3),
"burst_lifecycle_audit_ms_max": round(work_stat("lifecycle_audit_ms") or 0.0, 3),
"burst_collision_gate_ms_p99": round(work_stat("collision_gate_ms", .99) or 0.0, 3),
"burst_collision_gate_ms_max": round(work_stat("collision_gate_ms") or 0.0, 3),
"burst_unload_ms_p99": round(work_stat("unload_ms", .99) or 0.0, 3),
"burst_unload_ms_max": round(work_stat("unload_ms") or 0.0, 3),
"burst_trace_json_ms_p99": round(work_stat("trace_json_ms", .99) or 0.0, 3),
"burst_trace_json_ms_max": round(work_stat("trace_json_ms") or 0.0, 3),
"burst_desired_rebuild_ms_max": round(scheduler_stat("desired_rebuild_ms") or 0.0, 3),
"burst_rmc_create_group_ms_p99": round(rmc_stat("create_section_group_ms", .99) or 0.0, 3),
"burst_rmc_create_group_ms_max": round(rmc_stat("create_section_group_ms") or 0.0, 3),
"burst_rmc_collision_handoff_ms_max": round(rmc_stat("collision_handoff_ms") or 0.0, 3),
"burst_collision_completion_ms_max": round(max(
collision_completion_by_frame.values(), default=0.0), 3),
"worst_frame_breakdown": {
"frame": worst_work_frame_id,
"world_tick_frame": worst_work_frame_id,
"frame_interval_end_frame": worst_interval_frame_id,
"frame_interval_ms": round(float(worst_interval.get("frame_ms", 0.0)), 3)
if worst_interval else None,
"apply_ms": round(float(worst_apply.get("apply_ms", 0.0)), 3)
if worst_apply else None,
"result_drain_ms": round(float(worst_apply.get("drain_ms", 0.0)), 3)
if worst_apply else None,
"outside_world_tick_ms": round(max(0.0, float(worst_interval.get("frame_ms", 0.0))
- float(worst_work.get("tick_ms", 0.0))), 3)
if worst_interval else None,
"outside_full_world_tick_ms": round(max(0.0, float(worst_interval.get("frame_ms", 0.0))
- float(commandlet_tick_by_frame.get(worst_work_frame_id, {}).get("world_tick_ms", 0.0))), 3)
if worst_interval else None,
"full_world_tick_ms": round(float(commandlet_tick_by_frame.get(
worst_work_frame_id, {}).get("world_tick_ms", 0.0)), 3),
"world_pre_actor_ms": round(float(commandlet_tick_by_frame.get(
worst_work_frame_id, {}).get("world_pre_actor_ms", 0.0)), 3),
"world_actor_phase_ms": round(float(commandlet_tick_by_frame.get(
worst_work_frame_id, {}).get("world_actor_phase_ms", 0.0)), 3),
"world_post_actor_ms": round(float(commandlet_tick_by_frame.get(
worst_work_frame_id, {}).get("world_post_actor_ms", 0.0)), 3),
"commandlet_readiness_check_ms": round(float(commandlet_tick_by_frame.get(
worst_work_frame_id, {}).get("readiness_check_ms", 0.0)), 3),
"commandlet_sleep_ms": round(float(commandlet_tick_by_frame.get(
worst_work_frame_id, {}).get("sleep_ms", 0.0)), 3),
"commandlet_loop_ms": round(float(commandlet_tick_by_frame.get(
worst_work_frame_id, {}).get("loop_ms", 0.0)), 3),
"gc_duration_ms": round(float(garbage_collect_by_frame.get(
worst_work_frame_id, {}).get("duration_ms", 0.0)), 3),
"world_tick_ms": round(float(worst_work.get("tick_ms", 0.0)), 3),
"active_generation_workers": int(worst_work.get("active_generation_workers", 0)),
"active_tile_tasks": int(worst_work.get("active_tile_tasks", 0)),
"collision_gate_ms": round(float(worst_work.get("collision_gate_ms", 0.0)), 3),
"update_chunks_ms": round(float(worst_work.get("update_chunks_ms", 0.0)), 3),
"desired_rebuild_ms": round(float(worst_scheduler.get("desired_rebuild_ms", 0.0)), 3),
"pending_drain_ms": round(float(worst_work.get("pending_drain_ms", 0.0)), 3),
"post_apply_callbacks_ms": round(float(worst_work.get("post_apply_callbacks_ms", 0.0)), 3),
"collision_probe_ms": round(float(worst_work.get("collision_probe_ms", 0.0)), 3),
"visibility_reconcile_ms": round(float(worst_work.get("visibility_reconcile_ms", 0.0)), 3),
"visible_apply_probe_ms": round(float(worst_work.get("visible_apply_probe_ms", 0.0)), 3),
"lod0_ready_ms": round(float(worst_work.get("lod0_ready_ms", 0.0)), 3),
"unload_ms": round(float(worst_work.get("unload_ms", 0.0)), 3),
"steady_trace_ms": round(float(worst_work.get("steady_trace_ms", 0.0)), 3),
"modification_ms": round(float(worst_work.get("modification_ms", 0.0)), 3),
"lifecycle_audit_ms": round(float(worst_work.get("lifecycle_audit_ms", 0.0)), 3),
"trace_json_ms": round(float(worst_work.get("trace_json_ms", 0.0)), 3),
"trace_archive_serialize_ms": round(float(
worst_work.get("trace_archive_serialize_ms", 0.0)), 3),
"collision_completion_ms": round(worst_collision_completion_ms, 3),
**{key: round(float(worst_rmc.get(key, 0.0)), 3)
for key in ("component_acquire_ms", "create_section_group_ms",
"create_sections_ms", "collision_handoff_ms")},
},
"trace": str(trace.relative_to(ROOT)), "utrace": str(utrace.relative_to(ROOT)),
"abslog": str(abslog.relative_to(ROOT)), "stdout": str(stdout.relative_to(ROOT)),
}
stdout_text = stdout.read_text(encoding="utf-8", errors="replace")
gap_ms, gap_frame = endphysics_gap(stdout)
row["endphysics_to_postphysics_gap_ms_max"] = gap_ms
row["endphysics_gap_frame"] = gap_frame
failure = re.search(r"\[VoxelForgeCoreWorldTest\] failed: ([^\r\n]+)", stdout_text)
if failure:
row["world_test_failure"] = failure.group(1)
with (OUT / "runs.jsonl").open("a", encoding="utf-8") as stream:
stream.write(json.dumps(row, sort_keys=True) + "\n")
(OUT / f"{label}.summary.json").write_text(json.dumps(row, indent=2) + "\n",
encoding="utf-8")
print("[L109UnrealArrival] " + json.dumps(row, sort_keys=True), flush=True)
if exit_code:
raise SystemExit(f"Unreal commandlet failed: {stdout}; exit={exit_code}")
if not full or len(arrival) < 8:
raise SystemExit(f"Unreal arrival trace incomplete: {stdout}; exit={exit_code}")
if insights and (not utrace.is_file() or utrace.stat().st_size < 1024):
raise SystemExit(f"Unreal Insights trace missing or empty: {utrace}")
return row
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--stratum", choices=("FI", "SW"), required=True)
parser.add_argument("--repeat", type=int, default=1)
parser.add_argument("--phase", choices=("probe", "before", "after", "snapshot"), default="probe")
parser.add_argument("--ready-depth", type=int, default=64)
parser.add_argument("--background-cap", type=int, choices=(0, 1), default=1)
parser.add_argument("--worker-reserve", type=int, choices=(0, 1, 2, 3), default=0)
parser.add_argument("--helper-background", type=int, choices=(0, 1), default=1)
parser.add_argument("--tile-background-low", type=int, choices=(0, 1), default=1)
parser.add_argument("--tile-background-normal", type=int, choices=(0, 1), default=0)
parser.add_argument("--startup-boost", type=int, choices=(0, 1), default=1)
parser.add_argument("--tick-logs", action="store_true")
parser.add_argument("--insights", action="store_true")
args = parser.parse_args()
if not EDITOR.is_file():
raise SystemExit(f"missing Unreal commandlet executable: {EDITOR}")
run(args.stratum, args.repeat, args.phase, args.ready_depth,
args.background_cap, args.worker_reserve, args.helper_background,
args.tile_background_low, args.tile_background_normal, args.startup_boost,
args.tick_logs, args.insights)
return 0
if __name__ == "__main__":
raise SystemExit(main())
@@ -0,0 +1,93 @@
# L109 passage captures
Each PNG was rendered from its own exported mesh. The renderer reported visible triangles, and each decoded image met the pixel coverage floor. `low_contrast_geometry_visible` marks images that met this floor below the preferred contrast target.
## Before
- [upper-mouth](before/passage-0-1-0-upper-mouth.png) — passage/0-1/0; 188440 visible triangles
- [lower-mouth](before/passage-0-1-0-lower-mouth.png) — passage/0-1/0; 564520 visible triangles
- [25%](before/passage-0-1-0-station-25.png) — passage/0-1/0; 234197 visible triangles
- [50%](before/passage-0-1-0-station-50.png) — passage/0-1/0; 315900 visible triangles
- [75%](before/passage-0-1-0-station-75.png) — passage/0-1/0; 256359 visible triangles
- [section-1/view-1](before/passage-0-1-0-openair-1-view-1.png) — passage/0-1/0 **OPEN AIR**; 211462 visible triangles
- [section-1/view-2](before/passage-0-1-0-openair-1-view-2.png) — passage/0-1/0 **OPEN AIR**; 208255 visible triangles
- [section-1/view-3](before/passage-0-1-0-openair-1-view-3.png) — passage/0-1/0 **OPEN AIR**; 221239 visible triangles
- [section-2/view-1](before/passage-0-1-0-openair-2-view-1.png) — passage/0-1/0 **OPEN AIR**; 218664 visible triangles
- [section-2/view-2](before/passage-0-1-0-openair-2-view-2.png) — passage/0-1/0 **OPEN AIR**; 223817 visible triangles
- [section-2/view-3](before/passage-0-1-0-openair-2-view-3.png) — passage/0-1/0 **OPEN AIR**; 221239 visible triangles
- [section-3/view-1](before/passage-0-1-0-openair-3-view-1.png) — passage/0-1/0 **OPEN AIR**; 224005 visible triangles
- [section-3/view-2](before/passage-0-1-0-openair-3-view-2.png) — passage/0-1/0 **OPEN AIR**; 230599 visible triangles; low_contrast_geometry_visible
- [section-3/view-3](before/passage-0-1-0-openair-3-view-3.png) — passage/0-1/0 **OPEN AIR**; 229291 visible triangles
- [section-4/view-1](before/passage-0-1-0-openair-4-view-1.png) — passage/0-1/0 **OPEN AIR**; 407353 visible triangles
- [section-4/view-2](before/passage-0-1-0-openair-4-view-2.png) — passage/0-1/0 **OPEN AIR**; 406732 visible triangles
- [section-4/view-3](before/passage-0-1-0-openair-4-view-3.png) — passage/0-1/0 **OPEN AIR**; 363878 visible triangles
- [upper-mouth](before/passage-1-2-0-upper-mouth.png) — passage/1-2/0; 576595 visible triangles
- [lower-mouth](before/passage-1-2-0-lower-mouth.png) — passage/1-2/0; 555286 visible triangles
- [25%](before/passage-1-2-0-station-25.png) — passage/1-2/0; 667602 visible triangles
- [50%](before/passage-1-2-0-station-50.png) — passage/1-2/0; 602756 visible triangles
- [75%](before/passage-1-2-0-station-75.png) — passage/1-2/0; 620502 visible triangles
- [section-1/view-1](before/passage-1-2-0-openair-1-view-1.png) — passage/1-2/0 **OPEN AIR**; 636438 visible triangles
- [section-1/view-2](before/passage-1-2-0-openair-1-view-2.png) — passage/1-2/0 **OPEN AIR**; 593960 visible triangles
- [section-1/view-3](before/passage-1-2-0-openair-1-view-3.png) — passage/1-2/0 **OPEN AIR**; 622040 visible triangles
- [upper-mouth](before/passage-2-3-0-upper-mouth.png) — passage/2-3/0; 59568 visible triangles
- [lower-mouth](before/passage-2-3-0-lower-mouth.png) — passage/2-3/0; 294430 visible triangles; low_contrast_geometry_visible
- [25%](before/passage-2-3-0-station-25.png) — passage/2-3/0; 55420 visible triangles; low_contrast_geometry_visible
- [50%](before/passage-2-3-0-station-50.png) — passage/2-3/0; 458134 visible triangles
- [75%](before/passage-2-3-0-station-75.png) — passage/2-3/0; 475978 visible triangles
- [section-1/view-1](before/passage-2-3-0-openair-1-view-1.png) — passage/2-3/0 **OPEN AIR**; 104612 visible triangles
- [section-1/view-2](before/passage-2-3-0-openair-1-view-2.png) — passage/2-3/0 **OPEN AIR**; 81078 visible triangles
- [section-1/view-3](before/passage-2-3-0-openair-1-view-3.png) — passage/2-3/0 **OPEN AIR**; 94962 visible triangles; low_contrast_geometry_visible
- [section-2/view-1](before/passage-2-3-0-openair-2-view-1.png) — passage/2-3/0 **OPEN AIR**; 476052 visible triangles
- [section-2/view-2](before/passage-2-3-0-openair-2-view-2.png) — passage/2-3/0 **OPEN AIR**; 479198 visible triangles
- [section-2/view-3](before/passage-2-3-0-openair-2-view-3.png) — passage/2-3/0 **OPEN AIR**; 479198 visible triangles
- [section-3/view-1](before/passage-2-3-0-openair-3-view-1.png) — passage/2-3/0 **OPEN AIR**; 485580 visible triangles
- [section-3/view-2](before/passage-2-3-0-openair-3-view-2.png) — passage/2-3/0 **OPEN AIR**; 478866 visible triangles
- [section-3/view-3](before/passage-2-3-0-openair-3-view-3.png) — passage/2-3/0 **OPEN AIR**; 490304 visible triangles; low_contrast_geometry_visible
- [section-4/view-1](before/passage-2-3-0-openair-4-view-1.png) — passage/2-3/0 **OPEN AIR**; 475662 visible triangles
- [section-4/view-2](before/passage-2-3-0-openair-4-view-2.png) — passage/2-3/0 **OPEN AIR**; 496128 visible triangles
- [section-4/view-3](before/passage-2-3-0-openair-4-view-3.png) — passage/2-3/0 **OPEN AIR**; 496508 visible triangles; low_contrast_geometry_visible
## After
- [upper-mouth](after/passage-0-1-0-upper-mouth.png) — passage/0-1/0; 253282 visible triangles
- [lower-mouth](after/passage-0-1-0-lower-mouth.png) — passage/0-1/0; 559326 visible triangles
- [25%](after/passage-0-1-0-station-25.png) — passage/0-1/0; 145630 visible triangles
- [50%](after/passage-0-1-0-station-50.png) — passage/0-1/0; 430386 visible triangles
- [75%](after/passage-0-1-0-station-75.png) — passage/0-1/0; 294374 visible triangles
- [section-1/view-1](after/passage-0-1-0-openair-1-view-1.png) — passage/0-1/0 **OPEN AIR**; 289074 visible triangles
- [section-1/view-2](after/passage-0-1-0-openair-1-view-2.png) — passage/0-1/0 **OPEN AIR**; 298057 visible triangles
- [section-1/view-3](after/passage-0-1-0-openair-1-view-3.png) — passage/0-1/0 **OPEN AIR**; 322309 visible triangles
- [section-2/view-1](after/passage-0-1-0-openair-2-view-1.png) — passage/0-1/0 **OPEN AIR**; 283642 visible triangles
- [section-2/view-2](after/passage-0-1-0-openair-2-view-2.png) — passage/0-1/0 **OPEN AIR**; 316771 visible triangles
- [section-2/view-3](after/passage-0-1-0-openair-2-view-3.png) — passage/0-1/0 **OPEN AIR**; 322309 visible triangles
- [section-3/view-1](after/passage-0-1-0-openair-3-view-1.png) — passage/0-1/0 **OPEN AIR**; 262299 visible triangles
- [section-3/view-2](after/passage-0-1-0-openair-3-view-2.png) — passage/0-1/0 **OPEN AIR**; 310919 visible triangles; low_contrast_geometry_visible
- [section-3/view-3](after/passage-0-1-0-openair-3-view-3.png) — passage/0-1/0 **OPEN AIR**; 363071 visible triangles
- [section-4/view-1](after/passage-0-1-0-openair-4-view-1.png) — passage/0-1/0 **OPEN AIR**; 378007 visible triangles
- [section-4/view-2](after/passage-0-1-0-openair-4-view-2.png) — passage/0-1/0 **OPEN AIR**; 471132 visible triangles
- [section-4/view-3](after/passage-0-1-0-openair-4-view-3.png) — passage/0-1/0 **OPEN AIR**; 382187 visible triangles
- [upper-mouth](after/passage-1-2-0-upper-mouth.png) — passage/1-2/0; 570417 visible triangles; low_contrast_geometry_visible
- [lower-mouth](after/passage-1-2-0-lower-mouth.png) — passage/1-2/0; 511318 visible triangles
- [25%](after/passage-1-2-0-station-25.png) — passage/1-2/0; 661032 visible triangles
- [50%](after/passage-1-2-0-station-50.png) — passage/1-2/0; 602996 visible triangles
- [75%](after/passage-1-2-0-station-75.png) — passage/1-2/0; 615520 visible triangles
- [section-1/view-1](after/passage-1-2-0-openair-1-view-1.png) — passage/1-2/0 **OPEN AIR**; 629052 visible triangles
- [section-1/view-2](after/passage-1-2-0-openair-1-view-2.png) — passage/1-2/0 **OPEN AIR**; 588414 visible triangles
- [section-1/view-3](after/passage-1-2-0-openair-1-view-3.png) — passage/1-2/0 **OPEN AIR**; 616234 visible triangles
- [upper-mouth](after/passage-2-3-0-upper-mouth.png) — passage/2-3/0; 59562 visible triangles
- [lower-mouth](after/passage-2-3-0-lower-mouth.png) — passage/2-3/0; 294522 visible triangles; low_contrast_geometry_visible
- [25%](after/passage-2-3-0-station-25.png) — passage/2-3/0; 55484 visible triangles; low_contrast_geometry_visible
- [50%](after/passage-2-3-0-station-50.png) — passage/2-3/0; 457754 visible triangles
- [75%](after/passage-2-3-0-station-75.png) — passage/2-3/0; 475706 visible triangles
- [section-1/view-1](after/passage-2-3-0-openair-1-view-1.png) — passage/2-3/0 **OPEN AIR**; 104612 visible triangles
- [section-1/view-2](after/passage-2-3-0-openair-1-view-2.png) — passage/2-3/0 **OPEN AIR**; 81078 visible triangles
- [section-1/view-3](after/passage-2-3-0-openair-1-view-3.png) — passage/2-3/0 **OPEN AIR**; 94962 visible triangles; low_contrast_geometry_visible
- [section-2/view-1](after/passage-2-3-0-openair-2-view-1.png) — passage/2-3/0 **OPEN AIR**; 475688 visible triangles
- [section-2/view-2](after/passage-2-3-0-openair-2-view-2.png) — passage/2-3/0 **OPEN AIR**; 479134 visible triangles
- [section-2/view-3](after/passage-2-3-0-openair-2-view-3.png) — passage/2-3/0 **OPEN AIR**; 479134 visible triangles
- [section-3/view-1](after/passage-2-3-0-openair-3-view-1.png) — passage/2-3/0 **OPEN AIR**; 485216 visible triangles
- [section-3/view-2](after/passage-2-3-0-openair-3-view-2.png) — passage/2-3/0 **OPEN AIR**; 479198 visible triangles
- [section-3/view-3](after/passage-2-3-0-openair-3-view-3.png) — passage/2-3/0 **OPEN AIR**; 490436 visible triangles; low_contrast_geometry_visible
- [section-4/view-1](after/passage-2-3-0-openair-4-view-1.png) — passage/2-3/0 **OPEN AIR**; 475298 visible triangles
- [section-4/view-2](after/passage-2-3-0-openair-4-view-2.png) — passage/2-3/0 **OPEN AIR**; 495856 visible triangles
- [section-4/view-3](after/passage-2-3-0-openair-4-view-3.png) — passage/2-3/0 **OPEN AIR**; 496236 visible triangles; low_contrast_geometry_visible
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