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Memory practice problems in Python
Difficulty:
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Showing 11 of 11
| Status | Title | Difficulty | Category | Tags |
|---|---|---|---|---|
| A registry that does not prevent collection | Medium | Primitives |
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| cached_property: compute once, release with the instance, invalidate on demand | Medium | Primitives |
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| Capstone: five defects, and which tool would have found each one | Hard | End-to-End |
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| deep_sizeof: count every distinct object exactly once | Medium | Framework |
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| find_growth: measure retention, and stop the tracer on every path | Medium | Framework |
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| Lazy record batches: what laziness moves | Medium | Primitives |
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| lru_cache on a method: fix the unbounded instance leak | Hard | Primitives |
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| The __exit__ contract: return the resource, propagate the exception | Medium | Primitives |
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| The streaming sort-merge join | Hard | End-to-End |
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| Walking an object graph with gc.get_referents | Medium | Framework |
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| Worker Recycling: max_tasks_per_child Without the Silent Downgrade | Medium | Framework |
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