Hello! A little bit of context: roughly speaking, preforking is a technique where a (supervisor) process is started, the process performs some initialization and then forks off into child worker processes, which it then supervises. It's usually used to make several worker processes share a server TCP socket (which they inherit from the supervisor).
In some runtimes preforking can also be used to save memory since the child processes get copy-on-write access to the supervisor memory pages. My understanding is this doesn't actually yield anything on CPython since essentially everything is reference counted and memory pages get copied quickly. PyPy doesn't use reference counting though, so I was wondering if preforking could be used with PyPy for memory saving purposes. All of this is a little low-level for me, and I would appreciate any insight from the resident experts :)
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