Unverified50% confidenceSolutionExact time
For heavy-load steps such as rendering, the author instead launches one subprocess per file so the operating system truly reclaims memory, rather than relying on Python's garbage collection.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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Related Claims
UnverifiedFor heavyweight rendering steps, running each file in an independent subprocess ensures that memory is truly returned to the operating system.79% similarUnverifiedIn CPython, a child process's memory is only fully reclaimed by the operating system after the process exits, so splitting each re-rendering step into an independent child process can use the process boundary in exchange for genuine memory return.75% similarUnverifiedThe contributor split the heavy-load steps into one subprocess per file, so that memory is returned to the operating system after the task ends.70% similarUnverified由于CPython使用引用计数垃圾回收，即使子进程仅读取共享数据也会触发写时复制机制，导致内存被复制到每个子进程68% similarUnverifiedAfter organizing a folder, WorkBuddy generates an undo script that can be run to restore operations with a single click, enabling rollback.64% similar
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