add notebook to explain testing and debug capabilities #751
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WalkthroughA new "Testing and Debugging" documentation link was added to the README under the "Single Node Executor" section. The single-node example notebook was updated with minor changes to output timings, formatting, and metadata, but no code logic or explanations were altered. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~2 minutes Possibly related PRs
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✨ Finishing Touches🧪 Generate unit tests
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #751 +/- ##
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Coverage 97.47% 97.47%
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Hits 1387 1387
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Actionable comments posted: 0
🧹 Nitpick comments (3)
notebooks/6-testing.ipynb (3)
69-70: Consolidate duplicate imports.The
SingleNodeExecutorimport is duplicated from the previous section. Consider consolidating imports at the beginning of the notebook.
106-109: Consider usingcontextlib.suppressfor cleaner exception handling.While the current try/except pattern works for educational purposes, you could demonstrate a more pythonic approach.
- try: - print([f.result() for f in future_lst]) - except ValueError: - pass + from contextlib import suppress + with suppress(ValueError): + print([f.result() for f in future_lst])
219-225: Remove empty code cell.The empty code cell at the end serves no purpose and should be removed to keep the notebook clean.
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notebooks/6-testing.ipynb
27-30: Use contextlib.suppress(ValueError) instead of try-except-pass
Replace with contextlib.suppress(ValueError)
(SIM105)
37-37: Found useless expression. Either assign it to a variable or remove it.
(B018)
40-40: Module level import not at top of file
(E402)
46-46: Module level import not at top of file
(E402)
🔇 Additional comments (8)
notebooks/6-testing.ipynb (8)
1-11: Good introduction that sets clear context.The introduction effectively explains the purpose of the notebook and why testing/debugging utilities are important when scaling to HPC environments.
12-52: Effective demonstration of object size logging.The example clearly shows how to enable object size logging and what output to expect. The use of context manager is appropriate.
79-84: Function demonstrates error conditions effectively.The example function clearly shows how specific input combinations can trigger exceptions, which is perfect for demonstrating error logging capabilities.
127-164: Good demonstration of error log content inspection.The example effectively shows how the error log captures function details, arguments, and full traceback information, which is valuable for debugging.
181-185: Proper cleanup of test files.Good practice to clean up the error log file after demonstrating its usage.
187-194: Excellent explanation of TestClusterExecutor's purpose.The explanation clearly articulates why TestClusterExecutor is needed and how it differs from other executors. This provides valuable context for users debugging cluster execution issues.
197-216: Clear demonstration of TestClusterExecutor usage.The example shows the basic usage pattern and demonstrates that it works similarly to other executors while using file-based communication internally.
226-249: Standard and appropriate notebook metadata.The metadata configuration is correct for a modern Jupyter notebook with Python 3.12.
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