I often find myself defining function args with list[SomeClass] type and think "do I really care that it's a list? No, tuple or Generator is fine, too". I then tend to use Iterable[SomeClass] or Collection[SomeClass]. But when it comes to str, I really don't like that solution, because if you have this function:

def foo(bar: Collection[str]) -> None:
    pass

Then calling foo("hello") is fine, too, because "hello" is a collection of strings with length 1, which would not be fine if I just used list[str] in the first place. What would you do in a situation like this?

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[+] exussum@lemmy.world 1 points 7 months ago (1 children)

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[–] wasabi@feddit.de 3 points 7 months ago* (last edited 7 months ago) (1 children)

I know that Iterable and Collection aren't the same. My point is, that if you use Iterable[str] or Collection[str] as a more flexible alternative to list[str] you no longer have any type-hinting support protecting against passing in a plain string and you could end up with a subtle bug by unexpectedly looping over ['f', 'o', 'o'] instead of ['foo'].

[–] sloppy_diffuser@sh.itjust.works 1 points 7 months ago

Strings are just a pain... Common solution is a runtime guard or doc comment. Can maybe try an overload and annotate a string param with NoReturn and an @throws doc comment.

Been awhile since doing python, but even that might not work since string satisfies both overloads. I recall having issues with unions where types were not discrete. I may have solved by ordering the overloads differently so string is considered first, but again, its been awhile.

https://stackoverflow.com/questions/44912374/python-type-annotation-for-sequences-of-strings-but-not-for-strings