# Best-of-N-Attempts — Best-of-N with an attempt-counted budget.
# Identical to best_of_n except the parent rotates every N *attempts* (valid or not), not every
# N valid children. Sections mirror the six core components.
seed: 0
general:
  max_iterations: 100
  inner_retry_times: 3     # SkyDiscover retries up to 3 propose+evaluate attempts per iteration (retry_times)
# population (BestOfNPopulation) is uncapped keep-all by default (SkyDiscover enforces no cap);
# set population.capacity to an int only if you need to bound the archive.
selection_policy:          # BestOfNAttemptsPolicy
  best_of_n: 5            # reuse the same parent for N consecutive attempts before switching to best
  num_inspirations: 4     # context programs sampled from the top pool
proposer:
  max_tokens: 32000        # SkyDiscover LLMConfig.max_tokens (applies only to a model built from this preset)