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jpn--
commented
Jul 29, 2026
jpn--
commented
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- Initial plan
- Add from_parquet_3d reader for multi-dimension skims in parquet format
- Improve pyarrow compatibility in parquet reader
- Update pandera version in run-tests.yml
- Update numpy version constraint in run-tests.yml
- loosen reqs in test
- fix dep pin
- nix all the stars
- update coveralls because ugh
- faster omx reader
for more information, see https://pre-commit.ci
The two activitysim-examples jobs have been failing with exit code 143 (runner terminated due to memory exhaustion). Mitigations: - run each collected test in its own pytest process so memory is fully released between model runs - restore/save the persistent sharrow flow cache (including numba on-disk cache files) across CI runs, so warm runs skip most numba compilation; saved even on failure to seed the cache - set MALLOC_ARENA_MAX=2 to limit glibc arena memory retention and pin NUMBA_NUM_THREADS to the runner core count - add a background memory monitor that samples system memory every 15s and reports a peak-usage summary at job end Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Iteration 2: per-test process isolation confirmed the two non-sharrow MTC tests pass in under a minute each, but the sharrow-enabled test exhausts runner memory on its own during cold-cache numba compilation (~47 min in). The abrupt runner shutdown also skipped the if:always() steps, so the flow cache was never saved and the memory report was lost. Changes: - add an 8GB swapfile to absorb the transient compilation memory peak - stream memory samples into the live step log so the data survives an abrupt runner shutdown - add a watchdog that stops pytest gracefully when memory (incl. swap) is nearly exhausted, so the cache-save step still runs; each attempt then saves whatever flows it compiled, and subsequent runs resume from that warm cache instead of starting over Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Merged to ActivitySim/main |
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