I suggested this before in some typing meetup, but there are a few problems
with it. One is that annotating arguments as "list" or "dict" is often the
wrong thing to do: instead, people should use broader, immutable types like
Iterable, Sequence, or Mapping, to avoid variance problems (
https://mypy.readthedocs.io/en/stable/common_issues.html#invariance-vs-covariance
).

El mar, 27 jul 2021 a las 20:13, Ignacio Pickering (<[email protected]>)
escribió:

> Currently type hints for built-in containers are, in my opinion, less
> succint than required. I suspect it is probably not very difficult for a
> type checker to interpret something like this for example:
>
> var1: {str: (int, int)} = {"label": (1, 2)}
> var2: {str} = {"other_label"}
>
> def function(param1: {int: str} = {1: "foo"}, param2: (int, ...) = (1, 2,
> 3)) -> (int, (str, ...)):
>     return 3, ("foo", "bar")
>
> as equivalent to:
>
> var1: dict[str, tuple[int, int]] = {"label": (1, 2)}
> var2: set[str] = {"other_label"}
>
> def function(param1: dict[int, str] = (1, "foo"), param2: tuple[int, ...]
> = (1, 2, 3)) -> tuple[int, tuple[str, ...]]:
>     return 3, ("foo", "bar")
>
> I thought of posting something like this as a mypy feature suggestion, but
> I suspect the language would need to modify the way type annotations are
> interpreted for something like it to work (or maybe not?).
> Basically, inside a type annotation, the objects created by (a, b), [a],
> {a: b}, {a} would be reinterpreted as the same thing as constructing
> tuple[a, b], dict[a, b], list[a], set[a].
> I have found myself wanting to write things like this a couple of times,
> so I think this overloaded usage of builtin containters is natural.
> I actually feel it is so natural it must either have been proposed before
> (in which case I would love to give the feature my +1) or there is some
> more or less obvious flaw.
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