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Claude
c9b9eafef6
Owner's daylight ruling: corridors need it; retract the 61% headline
Ruling: corridors need daylight. Only rooms not occupied from day to day --
a cupboard, a store, a plant room -- do without it.

That overturns the classification 38.8 and 38.9 rested on. Those sections
exempted internal circulation, covered courtyards, WCs, laundries and
reception on my inference rather than any ruling. None are exempt: a
corridor is occupied all day every day, a waiting room likewise, a laundry
is a room people spend time in, a sterilisation room is a workplace.

Re-measured with the classification READ FROM THE CORPUS (a space is exempt
exactly when its own patterns.config declares crinkliness: none) instead of
inferred: 24 of 271 crinkliness fails (9%) were not defects -- not 136
(50%), not 61%. Overstated by about six times.

  - uncrinkliness_circulation stays at [5/6, 1.1/3]. 38.10 called its
    equality with the habitable target the purest case of an untuned value;
    it is not a bug, it is the correct answer reached by default, since
    corridors want daylight on the same terms as rooms.
  - corpus declarations narrowed 18 -> 14. usage: utility was too coarse and
    swept in Laundry Rooms and a Sterilisation Room. What remains is
    storage, plant/mechanical, utilities closets and a records room.
  - audit_crinkliness_truth.py rebuilt to read the classification from the
    configs rather than infer it from usage:, so it cannot drift from the
    ruling again.
  - 38.8/38.9's inflated figures flagged in place, with 38.11 carrying the
    correction.

What survives, none of it dependent on the classification: the 38.6
critique of the three modes; usage_daylight being mis-keyed; the 38.8 A/B
yardstick being wrong; and the per-space crinkliness mechanism itself.

ssz's opening measurement was right but its reading was wrong -- under this
ruling a buried leaf usually IS a defect, so scoring it zero is largely
correct. The narrowed remnant is that the score is FLAT rather than low, so
two equally-buried layouts cannot be ranked. Filed as homemaker-py-9gj; it
is a search-mechanics problem, not a calibration one.

Lint at parity (46); tests 369 passed, 2 pre-existing failures (ut5's stale
baseline and 1ue), both failing identically before this change.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
2026-08-28 23:14:21 +00:00
Claude
055d7101cd
ssz: crinkliness is declared per space; there is no daylight attribute
Owner's ruling, and it corrects the design not just the classification: the
daylight requirement is already defined in the crinkliness. The gaussian's
compact side IS "too little exposed wall per unit floor"; its exposed side
is envelope cost. 38.9's proposed daylight: axis was redundant, and keying
it off usage: was worse than redundant.

What was actually missing: crinkliness is the only leaf quality factor with
no per-space target. size, width and proportion are all declared by the
space; crinkliness was one global number for every room in every building.

  crinkliness: none        -> no minimum-exposure requirement, may be buried
  crinkliness: [t, s]      -> this space's own target
  key absent               -> the global uncrinkliness target, as today

`none` clips the factor on the compact side, it does not switch it off:
over-exposure is still penalised, because a crinkly leaf costs envelope
whatever it holds. A store may be buried; a store may not be a starfish.

The mechanism is backward compatible -- an absent key resolves to the
global target, so shipping it changes no score. Behaviour changes only
where a config declares something, which keeps the objective change
visible per programme in config rather than hidden in a default.

Owner's classification: everything a person occupies wants a window, WCs
and reception/waiting/foyer included; only stores, plant, records and
laundry do not. migrate_crinkliness_key.py declared crinkliness: none on 18
corpus spaces. Crinkliness fails 271 -> 243, of which not-defects 136 (50%)
-> 108 (44%); the 28 that went are exactly the utility fails.

usage_daylight and needs_daylight are removed as mis-keyed, and
DAYLIGHT_USAGES with them -- a vocabulary value should exist only where the
engine treats it differently. The historical crinkliness_mode modes stay,
default off, so 38.6/38.8 remain reproducible.

uncrinkliness_circulation is now settable to none like any space, but its
default is left unchanged pending a ruling: corridors were not among the
groups ruled on and are 63% of the remaining phantom fails.

Lint at parity (46); tests 364 passed, same 7 pre-existing fixture failures.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
2026-08-28 22:39:09 +00:00
Claude
03aadec1ba
§39.7: access requirements become a declared usage: attribute (homemaker-py-sel)
Closes the second namespace sharing a first character with programme codes: the
usage prefixes b/t/l/k, under which a room silently inherited another room's
connectivity rules from its spelling.

usage is a plain, MANDATORY attribute of the space definition -- not a lookup
table. An interim design proposed a top-level usage_classes: table binding
author-coined names to behaviour; withdrawn, because an indirect name->behaviour
mapping living apart from the thing it describes is exactly the shape of the
prefix rule §39 exists to remove, it would be the only such table in a schema
where every other space property is a plain attribute, and the need it served
was already met -- "building specific" is about what a room is CALLED, and
name: is already free text.

Rule that settles it: a usage value exists iff the engine treats it differently
somewhere. Config selects among behaviours; it cannot invent them.

- programme.USAGES (living/kitchen/bedroom/toilet/utility/none) plus the
  behaviour groupings PRIVATE_USAGES / PRIVATE_STRIPS / TOILET_STRIPS /
  SOCIABLE_USAGES. Missing or unknown usage is a load error naming the code,
  from BOTH parse paths.
- Code-level, never leaf-level: usage_of(leaf.type) is looked up fresh, so a
  retype changes the class automatically. 51 sites assign leaf.type, and
  share/share_type plus the r5a resurrection are the precedent for why
  leaf-level attributes rot.
- graph.has_circulation takes the usage map and trims on declared class;
  fitness.access and the public-access check likewise. fitness._t0 is DELETED --
  no first-character type test remains anywhere in the codebase.
- utility is distinct from bedroom (same access requirements today) because it
  is a different use and gives derive_interchange_classes an axis to relax on.
- A toilet now keeps its edge to a terminal room -- the Brand adjacency, which
  the old b-before-t loop ordering severed.
- All 107 corpus entries migrated by experiments/migrate_usage_key.py, comments
  and layout preserved.

MEASURED -- the connectivity model was ~4x too permissive. `none` is not
neutral: nothing is trimmed, so the graph may route THROUGH the room, and 34 of
52 codes had no class (Dental Surgery, Records Room, Utilities Closet all served
as corridors). Edges trimmed, prefix-inferred vs declared, 3 seeds each:
  harbor-house   18 (9%)  -> 79 (39%)   inaccessible fails 0 -> 4
  health-centre  12 (8%)  -> 59 (40%)   inaccessible fails 2 -> 3
  maple-court    53 (17%) -> 123 (39%)  inaccessible fails 1 -> 5

Re-baseline (seed 1, 20k, harbor): 58 fails (15h/43s) -> 61 (16h/45s), now
reporting 1-inaccessible-usable-space x2 plus level 0 and level 1 not connected.
The count rose because the objective got honest -- those failures were always
true of the layout and the old model could not see them. Every harbor number
before this was measured against a graph crediting routes through store
cupboards.

Sharpens §38.2: the objective pays x60-85 to delete circulation, and until now
the deleted corridors were not missed because storage stood in for them. With
that substitution gone, homemaker-py-2v1 is the remaining half -- and now
measurable, because the fails it should prevent actually fire.

350 passed (+5 new), same 7 pre-existing fixture failures, lint unchanged.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
2026-08-26 13:39:41 +00:00
27719975b0 homemaker-py-1s3: multi-use leaves as permanent design goal (§26 path b)
Builds path (b) from §26 -- a leaf permanently serving two DIFFERENT
compatible programme codes at once, extending leaf-sharing's same-code
multiplicity mechanism to different-but-compatible codes. Architect-declared
`co_locate` pairs (validated against interchangeable()'s S1-S4 bounds, no
transitive closure so the b3v chain problem can't recur), threaded through
graph.py's checks via a new leaf_codes() resolver and fitness.py's quality
terms (additive size, stricter-of-both width/proportion). Construction-time
only, gated behind `multi_use` (default OFF, bit-identical when off).

End-to-end A/B (20k evals x 3 seeds x 2 programmes) came back net negative:
harbor-house -4.0% but health-centre +24.5% worse (3/3 seeds), because
fusing different codes' shape targets via stricter-of-both can impose a
tighter joint constraint than either code needed alone, which the tightly-
packed health-centre programme can't absorb. Written up as DESIGN.md §33;
multi_use stays default OFF, no default-flip recommended.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01R8agJBT2ZpmF3ErW7wi2wY
2026-07-31 00:16:12 +01:00
ce3fed166f homemaker-py-9yx: health-centre — non-synthetic third example programme
A small primary-care health centre: 19 distinct, individually-sized room
codes at n=20 room instances (only one deliberate duplication: two public
WCs), filling the gap between programme-house's duplicated-count sweep
sizes and harbor-house's out-of-range 37 real-diversity instances. Widths
are deliberately tiered (>1.3x gaps at three boundaries) so the auto-derived
interchange relation resolves to three bounded utility/office/clinical
classes instead of one whole-building chain, which a first pass produced.

experiments/run_9yx_sweep.sh repeats xyu's ruin_recreate ON/OFF protocol
(budget 3000, 4 workers, N=15 seeds) against this programme.
2026-07-30 00:09:37 +01:00