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test: keep the frozen scoring vocabulary authoritative instead of aborting #72

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Merged
Endika merged 1 commit into from
Aug 21, 2026
Merged

test: keep the frozen scoring vocabulary authoritative instead of aborting #72

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20 changes: 14 additions & 6 deletions tools/train/health_words.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,14 +104,22 @@ def scoring_vocabulary(annotations: dict) -> set[str]:
by_key = {normalize(c) for c in shipped}
gloss_keys = {normalize(label) for spans in annotations.values() for *_, label in spans}
keys = sorted(gloss_keys & by_key)
if SHARED.is_file():
stored = json.loads(SHARED.read_text())
if sorted(stored) != keys:
raise SystemExit(f"{SHARED} no coincide con el vocabulario recalculado; revisalo")
else:
if not SHARED.is_file():
SHARED.write_text(json.dumps({k: i for i, k in enumerate(keys)}, indent=1,
ensure_ascii=False, sort_keys=True))
return set(keys)
return set(keys)

# The frozen file wins, and that is the point of freezing it. Shipping a model with more
# concepts widens this intersection, and letting it widen would quietly change the
# denominator every recall figure was measured against — a better-looking number for a
# different exam. Say so loudly and keep scoring the original one.
stored = sorted(json.loads(SHARED.read_text()))
if stored != keys:
print(
f" AVISO: el manifest actual daria {len(keys)} clases puntuables; se mantienen "
f"las {len(stored)} congeladas en {SHARED.name} para que las cifras comparen"
)
return set(stored)


def score_windows(model, path: Path, floor: int) -> tuple[list[tuple], float, float]:
Expand Down