Fix non-root Numba caching and release 0.1.2 - #3
Merged
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
A non-root benchmark container could fail during warmup when importing
sharrow.maths, reportingcannot cache function 'piece': no locator available. Installed packages and the default home were not writable by the model user.Set
NUMBA_CACHE_DIR=/results/cache/flows/.numbabefore the container starts Python. Warmup, measured attempts, and spawned workers share this writable location, and compatible experiment snapshots retain its compiled artifacts. Check cache write access before launching the model.The Docker fixture now imports and compiles the installed Sharrow
piecehelper, and checks that its compiled cache exists. Existing tests cover serial/MP runs, measured cache retries, and reuse across experiments. Prepare release 0.1.2 and document the new cache location.Validation: 146 unit tests, all four Docker integration tests, and pre-commit checks passed locally. GitHub CI additionally checks Python 3.10–3.12 and built wheels.