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from collections.abc import Iterable
from typing import Any, Literal, TypeAlias, TypeVar, overload
from numpy._typing import DTypeLike, NDArray, _SupportsArrayFunc
_ArrayT = TypeVar("_ArrayT", bound=NDArray[Any])
_Requirements: TypeAlias = Literal[
"C", "C_CONTIGUOUS", "CONTIGUOUS",
"F", "F_CONTIGUOUS", "FORTRAN",
"A", "ALIGNED",
"W", "WRITEABLE",
"O", "OWNDATA"
]
_E: TypeAlias = Literal["E", "ENSUREARRAY"]
_RequirementsWithE: TypeAlias = _Requirements | _E
@overload
def require(
a: _ArrayT,
dtype: None = ...,
requirements: _Requirements | Iterable[_Requirements] | None = ...,
*,
like: _SupportsArrayFunc = ...
) -> _ArrayT: ...
@overload
def require(
a: object,
dtype: DTypeLike = ...,
requirements: _E | Iterable[_RequirementsWithE] = ...,
*,
like: _SupportsArrayFunc = ...
) -> NDArray[Any]: ...
@overload
def require(
a: object,
dtype: DTypeLike = ...,
requirements: _Requirements | Iterable[_Requirements] | None = ...,
*,
like: _SupportsArrayFunc = ...
) -> NDArray[Any]: ...
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