Single-image benches keep fail-fast; >8 distinct images (swe's 500
per-instance) now pull concurrently with resume state inside the run
itself -- exactly like the old auto-pull behavior, just resilient:
scoring proceeds with whatever images landed, missing ones score 0
and only a total wipeout fails the bench. Ctrl+C-safe (state file),
network recovery resumes automatically on the next run.
Co-Authored-By: Claude <noreply@anthropic.com>
Hybrid-thinking gateways inline the reasoning channel into content
wrapped in <think>..</think>; extractors then produced answers like
'3</think>Let me analyze...' (drop em 0.0 with f1 0.5 on samples the
model actually answered). Blocks and stray closers removed pre-extract.
Co-Authored-By: Claude <noreply@anthropic.com>
1140 real predictions scored 0.0% because the recipe referenced
'bigcodebench-sandbox:latest' -- a name nothing builds and docker.io
does not have; every sample then burned 3 pull-retries (~200s each).
- image -> bigcodebench/bigcodebench-evaluate:latest (the official hub
image, same one evalscope uses)
- ensure_image() preflight in evaluate(): recipe-level AND sample-level
images are verified/pulled ONCE before any container runs; missing ->
seconds-fast bench failure with a fix hint instead of a silent 0.0%
- docker exec: 'Unable to find image'/'manifest unknown' class errors
are permanent -- no 3x retry amplification
Verified with a bogus image: preflight raises in one pull-attempt with
the fix hint.
Co-Authored-By: Claude <noreply@anthropic.com>
User feedback: the out-dir report-reuse layer was one concept too many.
Now each checkpoint line carries {key, ts, pred, score}:
- --resume restores predictions AND their scores; when every sample's
cached score matches the scoring-setup fingerprint (recipe/extract/
scorers/judge), the report is replayed with NO scorer, extractor or
docker container touching anything
- fingerprint mismatch (recipe or judge changed) -> automatic re-eval
and backfill of the fresh scores
- no --resume -> nothing read, nothing written (full fresh run)
- --rescore = ignore cached scores, re-evaluate, refresh the cache
- aggregation always recomputed from cached per-sample scores (cheap,
survives aggregator changes without invalidating)
- legacy checkpoints without a score field backfill on first evaluation
Removed: the out-dir report-reuse block (superseded; also the source of
the UnboundLocalError path).
Co-Authored-By: Claude <noreply@anthropic.com>
Scoring progress: docker-exec benches (humaneval etc.) score for
minutes with zero feedback -- the bar sat at 'generating 100%' and
looked hung. evaluate() now takes on_scored(i, n) (atomic counter,
fires from worker threads), run_eval passes it through, and the CLI
shows 'scoring 42/164' on the bar + milestone log lines every 10%
(also fixes the phase match: 'scoring' never matched the capitalized
'Scoring predictions...' status message, so the bar never even
switched its label).
PooledAdapter:
- one release per acquire: the exception path released True (inner
finally) AND False (except handler), double-decrementing _inflight
(over-admission) and applying the x0.7 backoff twice
- AdaptiveGate: rebuild the Condition + probe task when the event loop
changes -- pools are cached across benchmarks and the CLI runs
asyncio.run() per bench/repeat; a loop-bound Condition from a closed
loop raises 'bound to a different event loop' under contention
Co-Authored-By: Claude <noreply@anthropic.com>
