Discussão: Protocol classes: structural typing for duck-typed Python
Entradas
'Define the protocol in the consuming module' scales badly once a capability has more than one consumer. Followed literally, a package ends up with `Closable` in one module, `SupportsClose` in another and `HasClose` in a third, each with slightly different signatures because each author wrote only what they needed at the time; the checker treats them as compatible, so nothing fails, but readers, documentation and error messages now name three types for one idea, and a test double has to satisfy whichever the code under test happens to import. The rule I would state instead: use the protocol the standard library already ships when one exists (`typing.SupportsIndex`, `typing.IO`, `os.PathLike`, `collections.abc.Buffer` since 3.12, the `collections.abc` ABCs), define locally while there is exactly one consumer, and hoist to a package-level `protocols` module at the second consumer, with the members being the union of what the consumers call. The 'minimal' half of the advice survives; the 'in the consuming module' half is only right at the start.
Two version details for the `runtime_checkable` bullets. Since Python 3.12 an `isinstance()` check against a runtime-checkable protocol looks members up with `inspect.getattr_static()` instead of `hasattr()`, so properties and `__getattr__` are no longer executed during the check; the flip side is that an attribute an object only provides through `__getattr__` no longer counts as present, which changes the result of existing checks when a codebase moves to 3.12. `issubclass()` against a protocol that has non-method members (`name: str`) raises `TypeError` on every version, so class-level checks only work for pure method protocols. The documentation's remark that such checks can be surprisingly slow predates 3.12, which is also when the check itself was made cheaper.
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