Bruno's rulings settle the framing: usage is an ACCESS-REQUIREMENT class, not a room-name category. li1 "Library Corner" and br1 "Staff Room" are living rooms (same access requirements); tr1 "Treatment Room" has a bedroom's requirements (terminal, not a circulation route); la1 "Laundry Room" is utility. Ground-floor external cases (fuel stores, bins) need no class — level: 0 plus adjacency: [o] already expresses that. SCOPE CORRECTION. My "93% pure annotation, 7 entries change" estimate was mechanically true but misleading: `none` is not neutral. Nothing is stripped, so has_circulation MAY ROUTE THROUGH the room. 34 of 52 distinct corpus codes currently have no usage class and are therefore modelled as permeable corridors -- including Dental Surgery, GP Consulting, Minor Surgery, Physiotherapy, Counselling, Records, Sterilisation, six storage rooms, four offices and "Individual Room" (a resident's own room). Consequence for §38: the model OVERSTATES connectivity, since a level can be found connected through rooms that are dead ends in reality. "level N not connected" is therefore rarer than it should be, compounding §38.2 -- the objective already pays x60-85 to delete circulation, and the corridors it deletes are then not missed because store cupboards stand in for them. Adds experiments/usage_map_proposal.yaml: all 52 codes covered (47 assigned, 5 unresolved, 0 missing) -- living 10, kitchen 2, bedroom 15, toilet 7, utility 10, none 3. Nothing reads it yet; it is the review artifact and, once agreed, the migration input. Also verified and recorded (Q2): a dedicated toilet off a bedroom-class room does NOT survive scoring. has_circulation runs its bedroom loop before its toilet loop and the bedroom loop strips bedroom->toilet, so the ensuite is severed -- for real bedrooms too. Existing Urb behaviour, neither caused nor fixed by the usage key. No src changes. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB |
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|---|---|---|
| .beads | ||
| .claude | ||
| examples | ||
| experiments | ||
| src/homemaker_layout | ||
| tests | ||
| .gitignore | ||
| AGENTS.md | ||
| CLAUDE.md | ||
| DESIGN.md | ||
| pyproject.toml | ||
| README.md | ||
homemaker-layout
Programme-driven building-layout search over slicing trees. A clean-room Python successor to the Perl Urb project, intended to eventually be 100% Python.
Why a rewrite
Urb represents a building as a binary slicing tree where room sizes are derived top-down from division ratios. That makes room area an emergent property of every cut above it, which:
- gives the genome low locality (a cut near the root rescales every descendant),
- makes target room sizes nearly impossible to hit, so the gaussian size penalty dominates fitness, and
- defeats crossover (transplanted subtrees lose their proportions).
homemaker inverts this: leaves carry target dimensions from the programme and division ratios are solved bottom-up for a fixed topology. The evolutionary search then only explores topology + types + adjacency.
Phase plan
Solver experiment: port Urb's geometry, re-solve ratios from programme targets, score the result against the original via the Perl oracle.✓Native Python fitness (retire the Perl oracle).✓Memetic search: canonical slicing genome + high-locality operators + Nelder-Mead inner loop.✓Penalty reshaping: lexicographic✓(-n_fails, fitness)outer-search comparison.Representation upgrade: canonical slicing encoding + bottom-up shape feasibility, scaled to larger programmes.✓- Search-quality experiments (current): a long running series of
opt-in levers tried against the
harbor-house,health-centre, andprogramme-houseexample corpora — leaf-sharing, finish-time cell→room collapse, ruin-and-recreate LNS, 2-opt polish, multi-use/co-located leaves, adjacency-graph and bubble-diagram fitness signals, and more. Most of these are negative/null results kept as opt-in flags or reference code rather than defaults. SeeDESIGN.md§11 onward for the full, numbered experiment log with methodology and results for each.
Layout
src/homemaker_layout/dom.py— read/write Urb.domYAML into aNodetree.src/homemaker_layout/geometry.py— faithful port of Urb's top-down geometry.src/homemaker_layout/programme.py— parsepatterns.configspace requirements.src/homemaker_layout/solver.py— bottom-up ratio solve (scipy).src/homemaker_layout/fitness.py— native Python fitness evaluator.src/homemaker_layout/fitness_cmd.py—homemaker-fitnessCLI (drop-in forurb-fitness.pl).src/homemaker_layout/collapse_cmd.py—homemaker-collapseCLI: finish-time global cell→room relabel of a.dom.src/homemaker_layout/graph.py— leaf-adjacency graph for programme-driven checks.src/homemaker_layout/genome.py— topology genome: base-floor tree + per-storey deltas.src/homemaker_layout/operators.py— high-locality mutation and subtree crossover.src/homemaker_layout/innerloop.py— ratio optimisation inner loop (Nelder-Mead / CMA-ES).src/homemaker_layout/driver.py— memetic search outer loop.src/homemaker_layout/evolve.py—homemaker-evolveCLI entry point.src/homemaker_layout/oracle.py— legacy Perl shim, kept for cross-validation only.src/homemaker_layout/bubble.py— 3D bubble-diagram adjacency fitness-signal prototype (DESIGN.md §27); validated null, not wired intofitness.py— reference only.
Room codes and reserved names
Leaf types live in three namespaces that share a first character. Only the first is enforced; the other two are conventions the fitness function reads, so a room's spelling can change how it is scored.
1. Generic structural types — C, O, S (reserved). The leaves the
search itself creates: C circulation, O outside, S sahn (an outside court
that also serves as circulation). Always uppercase. A programme code spelled
exactly C, O or S is rejected at load.
2. Programme room codes — anything else, lowercase. k1, b1, cr1,
of, and single-character codes like r or t. These may start with any
letter: since DESIGN.md §39.4 the generic tests match C/O/S exactly, so
naming a room cr1 no longer makes it circulation. (Before that fix it did —
and silently dropped it from the required-space check entirely.)
3. Usage prefixes — b bedroom, t toilet, l living, k kitchen.
Still matched by first letter, deliberately: this is how Urb encodes room usage.
graph.has_circulation deletes graph edges based on them (a "bedroom" loses its
edges to living/kitchen/bedroom/toilet; a "toilet" loses its edges to
outside/living/kitchen/toilet), and the access and public-access checks read
them too.
So a code beginning with b/t/l/k inherits that room's connectivity
rules whether or not you meant it — la1 "Laundry Room" is treated as a
living room, tr1 "Treatment Room" as a toilet. This is a known wart
(homemaker-py-sel, DESIGN.md §39.6); an explicit usage: key is the planned
fix. Until then, check any new programme with:
python experiments/audit_programme_config.py
which reports reserved-name collisions, the usage class each code picks up, and whether each room's size/width/proportion/crinkliness targets are mutually satisfiable at all.