wassname 7be1487d7b data recipe: drop n_pairs/judge/Optional knobs, explicit grid ...

Subagent review fixes:

- DataCfg / Cfg expose the grid directly (n_topics, n_personas, n_samples)
  as required ints with paper defaults (20/5/10). Drops `n_pairs` and the
  silent round() that made the count fuzzy. Drops `Optional[int]` smoke
  overrides — smoke just sets 2/1/2 = 4 pairs.
- Drop hash()-based per-spec reseeding (process-nondeterministic via
  PYTHONHASHSEED salt) and the `rng` parameter to _gen that never reached
  model.generate. One torch.manual_seed at start; spec order seeded by rng.
- Delete _judge_filter stub + cfg.judge flag (dead code, paper §3 GPT-4.1-mini
  filter not implemented yet — TODO comment instead).
- replicate._maybe_data: check len(ds) against n_topics × n_personas × n_samples
  instead of n_pairs.
- justfile: drop --n-pairs 1000.

2026-04-26 10:24:31 +08:00

..

smoke.py

data recipe: drop n_pairs/judge/Optional knobs, explicit grid

2026-04-26 10:24:31 +08:00