It's current convention (and is used by typing module and static type
checkers) that string annotations evaluate to valid Python types.
On Thu, 2021-03-11 at 10:45 -0800, Ethan Furman wrote:
> On 3/10/21 9:47 PM, Eric V. Smith wrote:
>
> > I'm not sure of the best way to achieve this. Using flags to
> > field() doesn't sound awesome, but could be made to work. Or maybe
> > special field names or types? I'm not crazy about that, but using
> > special types would let you do something like:
> >
> > @dataclasses.dataclass
> > class Point:
> > x: int = 0
> > _: dataclasses.KEYWORD_ONLY
> > y: int
> > z: int
> > t: int = 0
>
> Maybe something like this?
>
> class Hmm:
> #
> this: int
> that: float
> #
> pos: '/'
> #
> these: str
> those: str
> #
> key: '*'
> #
> some: list
>
> >>> Hmm.__dict__['__annotations__']
> {
> 'this': <class 'int'>,
> 'that': <class 'float'>,
> 'pos': '/',
> 'these': <class 'str'>,
> 'those': <class 'str'>,
> 'key': '*',
> 'some': <class 'list'>,
> }
>
> The name of 'pos' and 'key' can be convention, since the actual name
> is irrelevant. They do have to be unique, though. ;-)
>
> --
> ~Ethan~
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