Benchmark report
Onboarding verified
2m 23s elapsed
The saved attempt met the documented success criterion.
98/ 100
Agent-Ready- AInstall
- SAuth
- SExecute
- SDocs
- SCurrent
The system Python being PEP 668 externally-managed blocked 'pip install polars', costing one extra step to create a venv; nothing in Polars itself slowed the run.
Where the time went
2:23 agent time- Starting0:01
- Research0:11
- Attempt1:07
- Verify1:05
Judge reason
Saved evidence proves real execution of Polars 1.44.2 (installed into .venv after system pip refused with PEP 668; wheels polars-1.44.2-py3-none-any.whl + polars_runtime_32 aarch64 downloaded). Transcript entry 16 ran '.venv/bin/python quickstart.py | tee evidence/stdout.txt' and the result shows 'EXIT=0'. evidence/stdout.txt matches: original 'shape: (4, 4)' table with Alice Archer/Ben Brown/Chloe Cooper/Daniel Donovan and dtype row str/date/f64/f64; re-read table from output.csv identical with Schema({'name': String, 'birthdate': Date, 'weight': Float64, 'height': Float64}) and 'Round-trip equals original: True' from df_csv.equals(df); group_by decade output 'shape: (2, 4)' with columns decade/n/avg_height/avg_weight (1980 -> 3, 1.72, 69.73; 1990 -> 1, 1.56, 57.9) — fewer than 4 rows, and the aggregates recompute correctly (5.17/3=1.72, 209.2/3=69.73). output.csv exists on disk (164 bytes) with the four expected rows. Polars is a local library, so no credentials or mocks are involved; the package itself did the work.
Attempt record
- —First success verified
Attempt artifacts saved.