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