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Rustpyton is slower, does not implement everything correctly and worst
of all, contains code produced by LLM's.
Using the freethreaded mode of pyo3 also works nicely around the GIL,
and enables parallel execution.
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That makes it clear that these parts are only exposed to facilitate
macro use and not as part of the public API.
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We need to tell yt_dlp about our post processors, as they would
otherwise not take full effect. For example, changing the title would
previously only have changed the title in the *in-memory* info json, the
actual file on disk (video and .info.json) would still have the old
title, as yt_dlp did not know about our post processor.
Registering it via their api also has the upside of being able to
determine when to run.
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That allows us to avoid cpython's GIL and gives us full ability to
leverage async/concurrent code to speed up python operations.
I have also taken the opportunity to change the `InfoJson` struct to an
untyped json value, as that is what it actually is.
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