- evaluate_mmlu: fix double few-shot injection (build_prompt no longer
adds few-shot, apply_chat handles it once)
- evaluate_humaneval: fix pass@k k-filtering to be per-problem instead
of using first problem's n globally; reuse ProcessPoolExecutor across
problems; fix closure UnboundLocalError in test_one; handle None in
report when k > n
- evaluate_ifd: remove dead code (score_plain/score_messages); add
multi-file/directory input support with --input_path/--output_dir;
add summary.json aggregation and --max_samples; add --dtype flag
- evaluate_ppl: add --device and --dtype flags (was hardcoded to cuda)
- evaluate_ifeval: fix docstring path (scripts/tools -> scripts/eval)
- analyze_weights: add --output JSON export; fix dead code filter
("_norm" not in r was always True)
- Sentinel-anchored unconditional pass: both branches now predict the same N response tokens
- Single-token responses (rl=1) fully supported
- ctx_len tracked per sample; skip_reason replaces silent None
- --per_token flag for per-token IFD breakdown
- Replace SIGALRM+exec() with subprocess.run(timeout=) for test execution
- Add --test_only flag to skip generation and test existing completions
- Add --generate_only flag for generation-only runs
- Derive pass@k values from num_samples (filter k > n)
- Support loading completions from array JSON (not just JSONL)
ViperEkura