39.16 relocated the crinkliness residual to a plan-form question. Four measurements answer it, and two of them refute the premises 773 was filed on. The search DOES build courtyards -- harbor 8 (273 m2), maple 16 (404 m2), health-centre 13 (107 m2) over three seeds -- and they work: of 524 lit edges 44% come from the plot wall, 30% from a courtyard, 26% from a perimeter void, and a courtyard supplies at least one side for 53% of the two-aspect leaves. No operator is missing. (The shape-curve DP does NOT model exposure -- shapecurve.py:25 -- but per 38.24 it fires ~8 times in 500k evals, so that gap is not what is costing anything.) The answer is per-storey. Comparing each storey's demand, sum A_i/(1.6202*h), with the lit wall its leaves actually hold: every harbor and maple ground floor is below 1.0 and every top floor above 1.2, and the ratio predicts the fail rate almost exactly -- above ~1.2 near-zero fails, below 1.0 40-55% of the storey. health-centre and programme-house sit at 1.6-4.2 throughout and fail essentially nothing. That corrects 39.11, which divided demand evenly across storeys and concluded harbor and maple were frontage-feasible "with room to spare". Programmes pin rooms to level 0 and the ground floor cannot set itself back to buy perimeter: harbor's pinned 347 m2 needs 71.4 m against the plot's 53.0 m, maple's 414 m2 needs 85.2 m against 55.0 m, while health-centre and programme-house have 51.0 and 14.2 m spare. Same ordering as the corpus fail counts, and fixed before any search runs. The averaged check is not just weaker: on maple it asks for a 22 m2 courtyard where the ground floor needs 57 m2. New third _preflight check, advisory like the others, silent on the two programmes with slack. tests/test_evolve_preflight.py covers all three checks and asserts the ground-floor figure exceeds the averaged one -- if they ever agree, one has stopped earning its place. 39.11 annotated in place. Also recorded, not acted on: the open space is on the wrong storey (harbor puts 50 m2 of courtyard on the starved ground floor and 223 m2 on the surplus first floor), because value_rate pays an outside leaf above ground value_supported = 300 -- a room's rate -- against a cost of 110, with nothing tying its value to whether it illuminates anything. Filed as homemaker-py-ecx. 411 passed, 72 skipped. Refs homemaker-py-773. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
530 lines
27 KiB
Python
530 lines
27 KiB
Python
"""homemaker-evolve — memetic layout search starting from a .dom file.
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Usage (module):
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python -m homemaker.evolve seed.dom [options]
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When installed via pip install -e .:
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homemaker-evolve seed.dom [options]
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Positional arguments:
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seed.dom starting design file
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Options:
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--programme-dir DIR programme directory with patterns.config / costs.config
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(default: parent directory of seed.dom)
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--budget N evaluation budget (default: $HOMEMAKER_BUDGET or 20000)
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--pop N population size (default: $HOMEMAKER_POP or 16)
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--child-budget N per-child budget (default: $HOMEMAKER_CHILD_BUDGET or 80)
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--workers N parallel workers (default: $HOMEMAKER_WORKERS or 1)
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--seed N RNG seed (default: $HOMEMAKER_SEED or 0)
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--polish-budget N after a leaf-sharing run, unfold the shared leaves and
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run N extra no-sharing evals so the written .dom is honest
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under the canonical scorer (homemaker-py-3l6). -1 = auto
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(budget//2); 0 = unfold + rescore only. Ignored with
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--no-leaf-sharing. (default: $HOMEMAKER_POLISH_BUDGET or -1)
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--output PATH output .dom path (default: <seed_stem>_evolved.dom
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next to seed; use - for stdout)
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Progress is printed to stderr; the .dom is written on completion or interrupt.
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"""
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from __future__ import annotations
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import argparse
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import os
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import signal
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import sys
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import time
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from pathlib import Path
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from . import dom, driver
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def _env_int(name: str, default: int) -> int:
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v = os.environ.get(name)
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return int(v) if v is not None else default
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def _env_bool(name: str, default: bool) -> bool:
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v = os.environ.get(name)
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if v is None:
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return default
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return v.strip().lower() in ("1", "true", "yes", "on")
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def _parse_args(argv=None) -> argparse.Namespace:
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p = argparse.ArgumentParser(
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prog="homemaker-evolve",
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description="Memetic building-layout search over slicing trees.",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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)
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p.add_argument("seed_dom", type=Path,
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help="seed .dom file to start search from")
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p.add_argument("--programme-dir", type=Path, default=None, metavar="DIR",
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help="programme directory (default: parent of seed.dom)")
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p.add_argument("--budget", type=int,
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default=_env_int("HOMEMAKER_BUDGET", 20000),
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metavar="N", help="evaluation budget")
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p.add_argument("--pop", type=int,
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default=_env_int("HOMEMAKER_POP", 16),
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metavar="N", help="population size")
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p.add_argument("--child-budget", type=int,
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default=_env_int("HOMEMAKER_CHILD_BUDGET", 80),
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metavar="N", help="per-child evaluation budget")
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p.add_argument("--checkpoint-every", type=int, default=0, metavar="N",
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help="write the best-so-far .dom every N evals (0 = off). "
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"Crash safety for long runs: without it the only "
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"output lands at the end, so a reclaimed container or "
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"an OOM loses the whole search.")
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p.add_argument("--workers", type=int,
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default=_env_int("HOMEMAKER_WORKERS", 1),
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metavar="N", help="parallel worker processes")
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p.add_argument("--seed", type=int,
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default=_env_int("HOMEMAKER_SEED", 0),
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metavar="N", help="RNG seed")
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p.add_argument("--leaf-sharing", action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_LEAF_SHARING", True),
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help="collapse same-code rooms into fewer, larger shared "
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"leaves (erc.3, §13.3); --no-leaf-sharing for the strict "
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"per-leaf baseline (default: on)")
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p.add_argument("--leaf-share-factor", type=int,
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default=_env_int("HOMEMAKER_LEAF_SHARE_FACTOR", 3),
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metavar="N",
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help="global sharing grain: 0 = per-code opt-in only (share a "
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"code iff its programme entry sets 'share: N>=2'); N>=2 = "
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"share every sized code at grain N, with a code's explicit "
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"'share' overriding (share:1 opts out) (default: 3)")
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p.add_argument("--superpose", action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_SUPERPOSE", False),
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help="type superposition (9o5): interchangeable codes (similar "
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"requirements) form equivalence classes and each candidate "
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"collapses every superposed leaf to its best in-class usage "
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"before scoring (default: off)")
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p.add_argument("--multi-use", action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_MULTI_USE", False),
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help="homemaker-py-1s3 (§26 path b): multi-use leaves as a "
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"PERMANENT design goal. Codes declaring a mutual "
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"'co_locate' (and passing interchangeable()'s S1-S4 "
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"bounds) may be fused onto one leaf at construction time, "
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"surviving unchanged into the output (unlike --superpose's "
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"per-eval collapse to a single usage) (default: off)")
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p.add_argument("--shapecurve-warmstart", dest="shapecurve_warmstart",
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action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_SHAPECURVE_WARMSTART", False),
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help="homemaker-py-6xh (DESIGN.md §37.2/§37.4): warm-start "
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"each child's inner-loop ratio search from the exact "
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"Otten/Stockmeyer shape-curve DP solution instead of "
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"the proportion-aware target-geometry seed, when the "
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"topology is eligible (single storey, no leaf-sharing/"
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"superpose/max-share/multi-use — none of which the DP "
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"models). Falls through to today's start unchanged when "
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"ineligible or DP-infeasible (default: off)")
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p.add_argument("--shapecurve-prune", dest="shapecurve_prune",
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action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_SHAPECURVE_PRUNE", False),
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help="homemaker-py-wkh (DESIGN.md §37.5): use the shape-curve "
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"DP's exact feasible/infeasible verdict alongside the "
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"existing predicted_shape_fails pre-filter (a no-op "
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"unless the driver.search()-level feasibility_filter is "
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"also on -- not yet exposed as its own CLI flag). A "
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"DP-feasible verdict vetoes a heuristic-triggered prune "
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"outright (a real shape-feasible point exists, so the "
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"heuristic's high count was a false signal); a "
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"DP-infeasible verdict prunes immediately only when the "
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"incumbent already has zero total fails (exact: "
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"DP-infeasible proves the shape-fail floor is >=1); "
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"otherwise falls through to today's heuristic-count "
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"decision unchanged (default: off)")
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p.add_argument("--conn-grade", dest="conn_grade",
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action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_CONN_GRADE", False),
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help="homemaker-py-qi6 (§18): graded circulation-connectivity "
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"signal. Adds a secondary comparator key (beneath fail "
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"count, above fitness) = per-level largest-circ-component "
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"fraction, giving the search a gradient toward connected "
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"circulation that the binary 'not connected' fail lacks. "
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"Does not change the scalar fitness or fail count "
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"(default: off)")
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p.add_argument("--use-tiers", dest="use_tiers",
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action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_USE_TIERS", False),
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help="homemaker-py-2g7.3 (DESIGN.md §37): hard/soft fail "
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"tiering. Outer comparator becomes (-n_hard, -n_soft, "
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"fitness) instead of (-n_fails, fitness), so budget "
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"stops being spent polishing SOFT shape fails "
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"(crinkliness/proportion/size/width/edge-too-long/"
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"staircase-volume) while HARD structural fails (missing "
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"space, wrong/required level, level/circulation/vertical "
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"connectivity, adjacency, stairs, covered-outside, "
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"storey limits, public access) remain unfixed. Does not "
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"change the scalar fitness or total fail count "
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"(default: off)")
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p.add_argument("--bridge-circulation", dest="bridge_circulation",
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action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_BRIDGE_CIRCULATION", False),
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help="homemaker-py-8sh (qi6 mechanism (a) follow-on): "
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"explicit repair mutation that retypes the cheapest "
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"path between two disconnected circulation components "
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"to circulation, directly clearing a 'level N not "
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"connected' fail instead of relying on the qi6 graded "
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"comparator key (measured negative, §18) (default: off)")
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p.add_argument("--ruin-recreate", dest="ruin_recreate",
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action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_RUIN_RECREATE", False),
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help="homemaker-py-f1d: large-neighbourhood-search repair "
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"mutation that un-divides one wing of a storey and "
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"rebuilds it with the adjacency-aware constructor "
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"(seeded from the surviving circulation bordering the "
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"wing), applying the one construction technique with a "
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"track record repeatedly during search instead of only "
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"at seeding (default: off)")
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p.add_argument("--collapse-insearch", dest="collapse_insearch",
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action=argparse.BooleanOptionalAction,
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default=_env_bool("HOMEMAKER_COLLAPSE_INSEARCH", True),
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help="homemaker-py-qpk (§17 follow-on): run the 94g global "
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"cell→room collapse inside every fitness eval instead of "
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"once at finish time, so search optimises the collapsed "
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"objective directly. A/B-validated positive on both "
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"harbor-house (3/3, mean fails 80.3→72.0) and, after the "
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"homemaker-py-1ph larger-N sweep, programme-house (11/17 "
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"non-tied wins, mean fails 7.95→7.10) (default: on)")
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p.add_argument("--anneal-grain", type=str,
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default=os.environ.get("HOMEMAKER_ANNEAL_GRAIN"),
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metavar="LADDER",
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help="homemaker-py-kpu (Schedule B): in-run leaf-share grain "
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"annealing. A descending comma-separated grain ladder (e.g. "
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"'4,3,2') ramped down across phases within one run, "
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"unfolding leaves that exceed each new cap and carrying the "
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"population across steps, then a de-share polish. Implies "
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"leaf-sharing; --budget is split across the sharing phases "
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"and --polish-budget funds the final de-share phase. Unset "
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"(default) = the single-transition §15 finish.")
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p.add_argument("--polish-budget", type=int,
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default=_env_int("HOMEMAKER_POLISH_BUDGET", -1),
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metavar="N",
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help="homemaker-py-3l6: after a leaf-sharing run, unfold the "
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"shared leaves and run this many extra evals of "
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"no-sharing local search to clean up the materialised "
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"rooms before write, so the output is honest under the "
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"canonical scorer. -1 = auto (budget//2); 0 = unfold + "
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"rescore only, no polish. Ignored with --no-leaf-sharing "
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"(default: -1)")
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p.add_argument("--collapse", action=argparse.BooleanOptionalAction,
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default=True,
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help="homemaker-py-94g: finish-time global cell→room collapse — "
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"relabel the best layout's room cells to the programme "
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"rooms they fit best (level + adjacency + public-access "
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"constrained), kept only if it does not increase the fail "
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"count. Labels only, never geometry (default: on)")
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p.add_argument("--collapse-local-search", dest="collapse_local_search",
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action=argparse.BooleanOptionalAction, default=True,
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help="homemaker-py-9wi/cdl: run the 2-opt adjacency polish "
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"past collapse_global's Jacobi fixpoint as part of "
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"--collapse. A 46-file A/B sweep (harbor-house + "
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"programme-house) found 0 regressions, 2 improvements "
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"(default: on). Ignored if --no-collapse")
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p.add_argument("--output", type=Path, default=None, metavar="PATH",
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help="output .dom path (- for stdout)")
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return p.parse_args(argv)
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def _preflight(programme_dir) -> None:
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"""Warn before the run if the programme cannot fit its plot (homemaker-py-tdp).
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Three checks, cheap and closed-form (DESIGN.md §38.3/§39.11/§39.17). None
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can be fixed by searching harder, so it is worth saying so up front rather
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than letting a multi-hour run bottom out against it:
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1. does the demanded floor area fit the plot at all;
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2. is there enough daylit wall for that area, given every interior leaf
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needs ``L >= A/(1.6202*h)`` before it fails crinkliness;
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3. the same question for the GROUND FLOOR alone. Check 2 divides the
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demand evenly across storeys, but a programme pins rooms to level 0
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with ``level: 0`` and the ground floor is the one storey that cannot be
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made smaller or set back to buy itself more perimeter. Averaging hides
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that: harbor-house and maple-court both pass check 2 comfortably while
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their pinned ground floors are short by 18 m and 30 m of daylit wall
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(§39.17), which is where their whole crinkliness residual lives.
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"Daylit" is measured exactly as ``Fitness.area_outside`` does: an external
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boundary counts unless its perimeter type is ``private`` or ``fortified``.
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Advisory only — it never blocks a run, since an author may deliberately be
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exploring an over-tight brief.
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"""
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from . import geometry
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from . import programme as _prog
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try:
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root = dom.load(f"{programme_dir}/init.dom")
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per = root.perimeter or {}
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daylit = sum(geometry.edge_length(root, e) for e in range(4)
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if (per.get(geometry.boundary_id(root, e)) or "").lower()
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not in ("private", "fortified"))
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plot = geometry.area(root)
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height = root.height or 3.0
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reqs = _prog.load_programme_dir(str(programme_dir))
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storeys = max(_prog.n_storeys_required(reqs),
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_prog.storey_minimum(str(programme_dir)))
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built = sum(r.size * r.count for r in reqs.values()) / max(storeys, 1)
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from .fitness import Fitness, load_config
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conf, cost = load_config(str(programme_dir))
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spaces = Fitness(conf, cost).spaces
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pinned = sum(r.size * r.count for code, r in reqs.items()
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if (spaces.get(code) or {}).get("level") == 0)
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except Exception:
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return # advisory only; never block a run
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if not plot or not daylit:
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return
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if built > plot:
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print(f"WARNING: programme demands {built:.0f} m2 per storey on a "
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f"{plot:.0f} m2 plot ({100 * built / plot:.0f}%). Every room will "
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f"be squeezed below its target however long the search runs. "
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f"(DESIGN.md §39.11)", file=sys.stderr)
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needed = built / (1.6202 * height)
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if needed > daylit:
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court = (needed - daylit) * 1.5
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note = (f", but only {plot - built:.0f} m2 of plot is spare"
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if court > plot - built else "")
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print(f"WARNING: {built:.0f} m2 per storey needs ~{needed:.0f} m of daylit "
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f"wall; the plot's non-private perimeter gives {daylit:.0f} m. "
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f"Roughly {court:.0f} m2 of courtyard closes the gap{note}. "
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f"(DESIGN.md §38.3)", file=sys.stderr)
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# ...and the same question for the one storey that cannot set itself back.
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ground = pinned / (1.6202 * height)
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if pinned and ground > daylit:
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# a square courtyard of area x contributes its whole perimeter, 4*sqrt(x)
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court = ((ground - daylit) / 4.0) ** 2
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print(f"WARNING: {pinned:.0f} m2 is pinned to level 0 by the programme and "
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f"needs ~{ground:.0f} m of daylit wall, against the {daylit:.0f} m the "
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f"plot perimeter gives. The ground floor cannot set itself back to "
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f"buy more, so a square courtyard of roughly {court:.0f} m2 "
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f"({court ** 0.5:.1f} m a side) is what closes it. "
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f"(DESIGN.md §39.17)", file=sys.stderr)
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def main(argv=None) -> int:
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args = _parse_args(argv)
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seed_file = args.seed_dom.resolve()
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if not seed_file.exists():
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print(f"ERROR: seed not found: {seed_file}", file=sys.stderr)
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return 1
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programme_dir = (args.programme_dir or seed_file.parent).resolve()
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if not programme_dir.is_dir():
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print(f"ERROR: not a directory: {programme_dir}", file=sys.stderr)
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return 1
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if not (programme_dir / "patterns.config").exists():
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print(f"ERROR: no patterns.config in {programme_dir}", file=sys.stderr)
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return 1
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if args.output is None:
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out: Path | None = seed_file.parent / (seed_file.stem + "_evolved.dom")
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elif str(args.output) == "-":
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out = None
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else:
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out = args.output.resolve()
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_preflight(programme_dir)
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def _make_checkpoint(path):
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"""Write best-so-far to `<out>.checkpoint` ATOMICALLY.
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A checkpoint is worthless if a crash can catch it half-written, so it
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goes to a temp file in the same directory and is renamed over the
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target (rename is atomic within a filesystem). It is deliberately NOT
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the final output path -- a checkpoint is a leaf-sharing run's internal
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best, which is dishonest under the canonical scorer until the finish
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stage unfolds it (homemaker-py-3l6), so it must not be mistaken for
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the finished article.
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"""
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import os
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import tempfile
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def _write(best, n_evals):
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if best is None:
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return
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d = os.path.dirname(path) or "."
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fd, tmp = tempfile.mkstemp(dir=d, suffix=".ckpt")
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try:
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with os.fdopen(fd, "w") as fh:
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fh.write(dom.dumps(best.root))
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os.replace(tmp, path)
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except BaseException:
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if os.path.exists(tmp):
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os.unlink(tmp)
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raise
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print(f"[{n_evals:6d} evals] checkpoint -> {os.path.basename(path)} "
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f"({best.n_fails} fails)", file=sys.stderr, flush=True)
|
|
|
|
return _write
|
|
|
|
_ckpt = (_make_checkpoint(str(out) + ".checkpoint")
|
|
if args.checkpoint_every > 0 and args.output != Path("-") else None)
|
|
|
|
print(f"seed : {seed_file}", file=sys.stderr)
|
|
print(f"programme : {programme_dir.name}", file=sys.stderr)
|
|
print(f"budget : {args.budget}", file=sys.stderr)
|
|
print(f"pop : {args.pop}", file=sys.stderr)
|
|
print(f"child_budget : {args.child_budget}", file=sys.stderr)
|
|
print(f"workers : {args.workers}", file=sys.stderr)
|
|
print(f"rng seed : {args.seed}", file=sys.stderr)
|
|
print(f"leaf sharing : {args.leaf_sharing} (factor={args.leaf_share_factor})",
|
|
file=sys.stderr)
|
|
print(f"superpose : {args.superpose}", file=sys.stderr)
|
|
print(f"multi_use : {args.multi_use}", file=sys.stderr)
|
|
print(f"conn grade : {args.conn_grade}", file=sys.stderr)
|
|
print(f"use tiers : {args.use_tiers}", file=sys.stderr)
|
|
print(f"bridge circulation : {args.bridge_circulation}", file=sys.stderr)
|
|
print(f"ruin recreate : {args.ruin_recreate}", file=sys.stderr)
|
|
print(f"collapse in-search : {args.collapse_insearch}", file=sys.stderr)
|
|
print(f"shapecurve warmstart : {args.shapecurve_warmstart}", file=sys.stderr)
|
|
print(f"shapecurve prune : {args.shapecurve_prune}", file=sys.stderr)
|
|
print(f"output : {out or 'stdout'}", file=sys.stderr, flush=True)
|
|
|
|
anneal_ladder = None
|
|
if args.anneal_grain:
|
|
anneal_ladder = tuple(int(g) for g in args.anneal_grain.split(",")
|
|
if g.strip())
|
|
|
|
seed_root = dom.load(str(seed_file))
|
|
t0 = time.perf_counter()
|
|
|
|
# SIGTERM → KeyboardInterrupt so the driver's interrupt handler fires.
|
|
signal.signal(signal.SIGTERM, lambda *_: (_ for _ in ()).throw(KeyboardInterrupt()))
|
|
|
|
if anneal_ladder:
|
|
# homemaker-py-kpu (Schedule B): in-run grain annealing already ends with a
|
|
# de-share polish, so it is self-finishing — the §15 unfold+polish is not
|
|
# applied on top.
|
|
polish_budget = args.budget // 2 if args.polish_budget < 0 else args.polish_budget
|
|
print(f"anneal grain : {anneal_ladder} → off (polish {polish_budget})",
|
|
file=sys.stderr, flush=True)
|
|
r = driver.search_annealed(
|
|
seed_root,
|
|
programme_dir,
|
|
budget=args.budget,
|
|
polish_budget=polish_budget,
|
|
grain_ladder=anneal_ladder,
|
|
pop_size=args.pop,
|
|
child_budget=args.child_budget,
|
|
p_crossover=0.2,
|
|
seed=args.seed,
|
|
n_workers=args.workers,
|
|
superpose=args.superpose,
|
|
multi_use=args.multi_use,
|
|
checkpoint=_ckpt,
|
|
checkpoint_every=args.checkpoint_every,
|
|
log=lambda m: print(m, file=sys.stderr, flush=True),
|
|
)
|
|
_finish_sharing = False
|
|
else:
|
|
r = driver.search(
|
|
seed_root,
|
|
programme_dir,
|
|
budget=args.budget,
|
|
pop_size=args.pop,
|
|
child_budget=args.child_budget,
|
|
p_crossover=0.2,
|
|
seed=args.seed,
|
|
n_workers=args.workers,
|
|
leaf_sharing=args.leaf_sharing,
|
|
leaf_share_factor=args.leaf_share_factor,
|
|
superpose=args.superpose,
|
|
multi_use=args.multi_use,
|
|
conn_grade=args.conn_grade,
|
|
use_tiers=args.use_tiers,
|
|
enable_bridge_circulation=args.bridge_circulation,
|
|
enable_ruin_recreate=args.ruin_recreate,
|
|
collapse_insearch=args.collapse_insearch,
|
|
shapecurve_warmstart=args.shapecurve_warmstart,
|
|
shapecurve_prune=args.shapecurve_prune,
|
|
checkpoint=_ckpt,
|
|
checkpoint_every=args.checkpoint_every,
|
|
log=lambda m: print(m, file=sys.stderr, flush=True),
|
|
)
|
|
_finish_sharing = args.leaf_sharing
|
|
|
|
# homemaker-py-3l6: a leaf-sharing run's internal best is scored against a
|
|
# sharing-credited objective (a shared leaf counts as k programme rooms), so
|
|
# r.best is dishonest under the canonical scorer — it is k-1 rooms short per
|
|
# shared leaf. Unfold those leaves and warm-start a no-sharing polish so the
|
|
# written .dom is honest AND its materialised rooms are cleaned up (yaa: the
|
|
# unfold-then-polish path catches the direct no-sharing route). After this,
|
|
# r.best.fitness is the canonical score (leaf_sharing off ⇒ internal == canon).
|
|
if _finish_sharing and r.best is not None:
|
|
polish_budget = args.budget // 2 if args.polish_budget < 0 else args.polish_budget
|
|
# An interrupted sharing run still needs an honest output, but the user
|
|
# asked to stop — unfold and rescore only, skip the long polish phase.
|
|
if r.interrupted:
|
|
polish_budget = 0
|
|
print(file=sys.stderr)
|
|
print(f"--- finishing (homemaker-py-3l6): unfold + polish "
|
|
f"{polish_budget} evals ---", file=sys.stderr, flush=True)
|
|
r = driver.polish_finish(
|
|
r, programme_dir,
|
|
polish_budget=polish_budget,
|
|
pop_size=args.pop,
|
|
child_budget=args.child_budget,
|
|
p_crossover=0.2,
|
|
seed=args.seed,
|
|
n_workers=args.workers,
|
|
superpose=args.superpose,
|
|
multi_use=args.multi_use,
|
|
collapse_insearch=args.collapse_insearch,
|
|
log=lambda m: print(m, file=sys.stderr, flush=True),
|
|
)
|
|
|
|
# homemaker-py-94g: finish-time global cell→room collapse. Relabels the best
|
|
# layout's room cells to the programme rooms they fit best (label search only,
|
|
# no geometry change), kept only if it does not increase the fail count. Runs
|
|
# after the sharing polish so it acts on the canonical (materialised) best.
|
|
if args.collapse and r.best is not None:
|
|
print(file=sys.stderr)
|
|
print("--- collapse (homemaker-py-94g): finish-time cell→room relabel ---",
|
|
file=sys.stderr, flush=True)
|
|
r = driver.collapse_best(
|
|
r, programme_dir,
|
|
superpose=args.superpose,
|
|
multi_use=args.multi_use,
|
|
conn_grade=args.conn_grade,
|
|
local_search=args.collapse_local_search,
|
|
log=lambda m: print(m, file=sys.stderr, flush=True),
|
|
)
|
|
|
|
elapsed = time.perf_counter() - t0
|
|
|
|
print(file=sys.stderr)
|
|
status = "interrupted" if r.interrupted else "done"
|
|
print(f"--- {status} ---", file=sys.stderr)
|
|
print(f"elapsed : {elapsed:.1f}s", file=sys.stderr)
|
|
print(f"evals : {r.n_evals} across {r.n_topologies} topologies",
|
|
file=sys.stderr)
|
|
|
|
if r.best is None:
|
|
print("ERROR: no result produced", file=sys.stderr)
|
|
return 1
|
|
|
|
print(f"best : {r.best.fitness:.6g} ({r.best.n_fails} fails) "
|
|
f"via {r.best.lineage}", file=sys.stderr)
|
|
|
|
if r.history:
|
|
print("\nimprovement history:", file=sys.stderr)
|
|
for ev, fit_val, lin in r.history:
|
|
print(f" [{ev:6d}] {fit_val:.6g} ({lin})", file=sys.stderr)
|
|
|
|
if out is None:
|
|
sys.stdout.write(dom.dumps(r.best.root))
|
|
else:
|
|
dom.dump(r.best.root, str(out))
|
|
print(f"written : {out}", file=sys.stderr)
|
|
|
|
return 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
sys.exit(main())
|