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Typing issues #53
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Following on from that, I tried adjusting the type of the Callable, but just seem to get errors (maybe because the class hasn't been fully defined at the time of the decorator, mypy doesn't recognise the class as matching the protocol?). However, a quick test also revealed that the typing information is completely broken. Adjusting the first test to: def test_under_cached_property(propcache_module: APIProtocol) -> None:
class A:
def __init__(self) -> None:
self._cache: Dict[str, int] = {}
@propcache_module.under_cached_property
def prop(self) -> int:
return 1
@propcache_module.under_cached_property
def prop2(self) -> str:
return "foo"
a = A()
assert_type(a.prop, int)
assert a.prop == 1
assert_type(a.prop2, str)
assert a.prop2 == "foo" Reveals that all properties are |
Hmm, the typing seems to work on aiohttp though, so I'm not sure what I'm doing differently here for it to not work... |
Different MyPy version? |
I was testing locally with the same instance of mypy on each repo. assert_type() on |
Any future import of annotations anywhere? |
The Callable should be able to be tightened up on line 43.
So, that can probably become
Callable[[_TSelf[_T]], _T]
.However, looking at that, it's defined the _cache as
_cache: Dict[str, _T]
. Wouldn't that make it impossible to use this decorator multiple times on different values? e.g. If I have a class with aURL
and a port asint
, then the dict type would need to bedict[str, URL | int]
, which would then result in both attributes returningURL | int
.So, I think the _cache annotation might need some reworking... I suspect the Generic will need to be dropped from _TSelf and the dict may need to use
Any
. I'm not sure there's a clear way to do it accurately and type safe.Originally posted by @Dreamsorcerer in #50 (comment)
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