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| from collections.abc import Iterable
| from typing import TypeVar, Union, overload, Literal
|
| from numpy import ndarray
| from numpy._typing import DTypeLike, _SupportsArrayFunc
|
| _ArrayType = TypeVar("_ArrayType", bound=ndarray)
|
| _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: ...
| @overload
| def require(
| a: object,
| dtype: DTypeLike = ...,
| requirements: None | _Requirements | Iterable[_Requirements] = ...,
| *,
| like: _SupportsArrayFunc = ...
| ) -> ndarray: ...
|
|
