from collections.abc import Mapping from typing import Any, SupportsIndex import numpy as np import numpy.typing as npt def mode_func( ar: npt.NDArray[np.number[Any]], width: tuple[int, int], iaxis: SupportsIndex, kwargs: Mapping[str, Any], ) -> None: ... AR_i8: npt.NDArray[np.int64] AR_f8: npt.NDArray[np.float64] AR_LIKE: list[int] reveal_type(np.pad(AR_i8, (2, 3), "constant")) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.pad(AR_LIKE, (2, 3), "constant")) # E: ndarray[Any, dtype[Any]] reveal_type(np.pad(AR_f8, (2, 3), mode_func)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.pad(AR_f8, (2, 3), mode_func, a=1, b=2)) # E: ndarray[Any, dtype[{float64}]]