I've been rolling out Mypy on a client project. When activating the disallow_untyped_decorators flag, I found I needed type hints for parametrized. I added the below to the project's stubs folder (on mypy_path:
from __future__ import annotations
from collections.abc import Callable, Iterable, Sequence
from typing import Any, ParamSpec, TypeVar
from unittest import TestCase
P = ParamSpec("P")
T = TypeVar("T")
class param:
def __init__(self, *args: Any, **kwargs: Any) -> None: ...
InputType = (
Iterable[str] | Iterable[Sequence[Any]] | Iterable[dict[str, Any]] | Iterable[param]
)
class parameterized:
def __init__(
self,
input: InputType,
doc_func: Callable[[Callable[..., Any], int, param], str] | None = None,
skip_on_empty: bool = False,
): ...
def __call__(self, test_func: Callable[P, T]) -> Callable[P, T]: ...
@classmethod
def expand(
cls,
input: InputType,
name_func: Callable[[Callable[..., Any], int, param], str] | None = None,
skip_on_empty: bool = False,
**legacy: Any,
) -> Callable[[Callable[P, T]], Callable[P, T]]: ...
_TestCaseClass = TypeVar("_TestCaseClass", bound=type[TestCase])
def parameterized_class(input: Any) -> Callable[[_TestCaseClass], _TestCaseClass]: ...These hints cover the main usage of parameterized. If you're interested, I wouldn't mind contributing full type hint coverage to the package.
I've been rolling out Mypy on a client project. When activating the
disallow_untyped_decoratorsflag, I found I needed type hints for parametrized. I added the below to the project's stubs folder (onmypy_path:These hints cover the main usage of parameterized. If you're interested, I wouldn't mind contributing full type hint coverage to the package.