IndyDevDan
20 lines
1.7 KiB
Plaintext
20 lines
1.7 KiB
Plaintext
exit 1
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PASS: BENCH_PLAN.md present and still defines all 7 plan strategies
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PASS: bench.py exists at /private/tmp/ddc0f4d0/fusion-harness/bench.py
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PASS: bench.py has a PEP 723 `# /// script` metadata block
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PASS: PEP 723 dependencies are empty (stdlib only)
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PASS: bench.py imports only Python standard library modules
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PASS: bench.py uses sqlite3 (real inserts, not simulated)
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PASS: bench.py isolates strategies in separate processes
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PASS: bench.py measures peak RAM via getrusage/ru_maxrss
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PASS: bench.py targets N=1,000,000 rows
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PASS: `uv run bench.py` ran to completion (exit 0)
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PASS: RESULTS.md was (re)written by this `uv run bench.py` invocation
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FAIL: expected a markdown table whose rows name the 7 plan strategies ['naive_autocommit', 'one_big_txn_loop', 'executemany_list', 'executemany_gen', 'wal_tuned_gen', 'max_tuned_gen', 'set_based_ctes'], found no such table, at /private/tmp/ddc0f4d0/fusion-harness/RESULTS.md — write one markdown table with one row per strategy using the plan's strategy names
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FAIL: expected a `Speed Winner:` line naming one plan strategy, found `Speed Winner: setbasedctes — 0.2118 s, 1269.32x faster than naive.`, at /private/tmp/ddc0f4d0/fusion-harness/RESULTS.md — declare the Speed Winner using the plan's strategy name
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FAIL: expected a `Memory Winner:` line naming one plan strategy, found `Memory Winner: waltunedgen — 25.625 MB peak RSS, +3.359 MB over the calibration worker.`, at /private/tmp/ddc0f4d0/fusion-harness/RESULTS.md — declare the Memory Winner using the plan's strategy name
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FAIL: expected complete measured times for all 7 strategies to verify the >=5x speedup, found only [] parseable, at /private/tmp/ddc0f4d0/fusion-harness/RESULTS.md — fix the results table first
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RESULT: RED (11 passed, 4 failed)
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