Describe the issue:

I have a class that has an numpy array as an attribute. Its __array__ method simply calls np.ndarray.__array__ (see below). Mypy complains about non-matching types, but I believe the typehints that I provide are reasonable.

Reproduce the code example:

import numpy as np
import numpy.typing as npt
from typing import Optional

class Test:

    def __init__(self, ar: np.ndarray):
        self.ar = ar

    def __array__(self,
                  dtype: Optional[npt.DTypeLike] = None,
                  *,
                  copy: Optional[bool] = None) -> np.ndarray:
        return self.ar.__array__(dtype,copy=copy)

Error message:

test.py:14: error: Argument 1 to "__array__" of "ndarray" has incompatible type "type[Any] | dtype[Any] | _SupportsDType[dtype[Any]] | tuple[Any, Any] | list[Any] | _DTypeDict | str | None | None"; expected "None"  [arg-type]
test.py:14: error: Argument "copy" to "__array__" of "ndarray" has incompatible type "builtins.bool | None"; expected "numpy.bool[builtins.bool] | None"  [arg-type]

Python and NumPy Versions:

• Python 3.13.3
• NumPy 2.3.0

Type-checker version and settings:

• Mypy 1.16.0

Additional typing packages.

n/a