python / python/typing

Type interference: `ProtocolOf`?

Open
#1,944 2 comments 1 reaction 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
1.8k
Forks
302
Avg merge
23h
Merged PRs (30d)
8

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

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.