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enhance docs for critical sections #137334

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31 changes: 26 additions & 5 deletions Doc/c-api/init.rst
Original file line number Diff line number Diff line change
Expand Up @@ -2299,12 +2299,33 @@ per-object locks for :term:`free-threaded <free threading>` CPython. They are
intended to replace reliance on the :term:`global interpreter lock`, and are
no-ops in versions of Python with the global interpreter lock.

Critical sections are intended to be used for custom types implemented
in C-API extensions. They should generally not be used with built-in types like
:class:`list` and :class:`dict` because their public C-APIs
already use critical sections internally, with the notable
exception of :c:func:`PyDict_Next`, which requires critical section
to be acquired externally.
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@ngoldbaum ngoldbaum Aug 4, 2025

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I'm not sure if I agree here. Unless I've done something wrong in NumPy. I handled this for lists using the PySequence API. I take a critical section on a list, convert to a sequence using PySequence_Fast, and then operate on the sequence under a critical section. The sequence APIs also bypass the internal critical sections and they're documented not to be thread-safe, so I think this is actually the only safe way to use PySequence_Fast correctly on the free-threaded build.


Critical sections avoid deadlocks by implicitly suspending active critical
sections and releasing the locks during calls to :c:func:`PyEval_SaveThread`.
When :c:func:`PyEval_RestoreThread` is called, the most recent critical section
is resumed, and its locks reacquired. This means the critical section API
provides weaker guarantees than traditional locks -- they are useful because
their behavior is similar to the :term:`GIL`.
sections, hence, they do not provide exclusive access such as provided by
traditional locks like :c:type:`PyMutex`. When a critical section is started,
the per-object lock for the object is acquired. If the code executed inside the
critical section suspends the critical section, the per-object lock is released,
so other threads can acquire the per-object lock for the same object.

The critical sections can be suspended in the following situations:

* Calling back into Python code, such as calling a Python function or method.

* Calling any C API function which internally uses critical sections
such as :c:func:`PyList_Append` and :c:func:`PyDict_SetItem`.

* Locking of :c:type:`PyMutex` by :c:func:`PyMutex_Lock`.

* Calling :c:func:`PyEval_SaveThread` to detach the current thread.

* Recursively entering the critical section for the same object.
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In 3.14, don't recursive critical sections not get suspended?

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it isn't exactly recursive, there is one more condition which is that the critical section should be the topmost held critical section otherwise it can still get suspended


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It may be worth mentioning that these are exactly the same guarantees provided by the GIL.


Variants that accept :c:type:`PyMutex` pointers rather than Python objects are also
available. Use these variants to start a critical section in a situation where
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