Type interference: `ProtocolOf`?
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Description
I'm looking the way to interfere existing types explicitly, like typeof / keyof in Typescript
I have 2 use cases:
- existing function definition ->
Callable[...] - dataclass
__init__signature / protocol
I think it should look like:
from typing import ProtocolOf
def foo(a: int, b: float) -> float:
return a * b
FooProtocol = ProtocolOf[foo]
Should be equal to:
class FooProtocol(Protocol):
def __call__(a: int, b: float) -> float: ...
Or dataclasses:
from dataclasses import dataclass
from typing import ProtocolOf
@dataclass()
class Foo:
a: int
b: float
Here I'm not sure which way is better
# way 1:
FooProtocol = ProtocolOf[Foo]
Should be equal to:
class FooProtocol(Protocol):
def __call__(a: int, b: float) -> Foo: ...
# way 2:
FooInitProtocol = ProtocolOf["Foo.__init__"]
Should be equal to:
class FooInitProtocol(Protocol):
def __call__(a: int, b: float) -> None: ...
Callable / Protocol to ParamSpec / Returning to use in typing
I see typing.get_args but it doesn't looks suitable for typing. Also
from collections.abc import Callable
from typing import get_args
FooSignature = Callable[[int, float], float]
get_args(FooSignature) # == [[int, float], float]
Instead of that it should be way to define FooParamSpec / FooReturning
Bonus
there are no way to convert TypedDict to ParamSpec.kwargs
UPD: is't bound to typing.Unpack
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Research direction
Start by reviewing the issue's examples and the referenced typing.get_args, Callable, Protocol, ParamSpec, TypedDict, Unpack, and dataclasses APIs. The issue names no repository files or tests; done would require a focused, agreed design for the proposed typing feature before implementation can be scoped.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100