If you look at https://github.com/python/cpython/blob/b11a951f16f0603d98de24fee5c023df83ea552c/Python/ceval.c#L2409-L2451 you will see that `async for` requires that the iterator returned from `__aiter__` define `__anext__`. But if you look at aiter() which uses PyObject_GetAiter() from https://github.com/python/cpython/blob/f0a6fde8827d5d4f7a1c741ab1a8b206b66ffd57/Objects/abstract.c#L2741-L2759 and PyAiter_Check() from https://github.com/python/cpython/blob/f0a6fde8827d5d4f7a1c741ab1a8b206b66ffd57/Objects/abstract.c#L2769-L2778 you will notice that aiter() requires `__anext__` *and* `__aiter__` on the async iterator that gets returned from __aiter__.
Now the docs for aiter() at https://docs.python.org/3.10/library/functions.html#aiter points out that the async iterator is expected to define both methods as does the glossary definition for "asynchronous iterator" ( https://docs.python.org/3.8/glossary.html#term-asynchronous-iterator). So my question is whether the discrepancy between what `async for` expects and what `aiter()` expects on purpose? https://bugs.python.org/issue31861 was the issue for creating aiter() and I didn't notice a discussion of this difference. The key reason I'm asking is this does cause a deviation compared to the relationship between `for` and `iter()` (which does not require `__iter__` to be defined on the iterator, although collections.abc.Iterator does). It also makes the glossary definition being linked from https://docs.python.org/3.10/reference/compound_stmts.html#the-async-for-statement incorrect.
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