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TYP: Semi-transparent numpy.shape shape-type annotations. - #27210
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numpy.shape shape-type annotations.numpy.shape shape-type annotations.
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Thanks @jorenham . |
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Before,
numpy.shape()always returnedtuple[int, ...].This changes
numpy.shapeso return:tuple[()](the empty "0-d" tuple) for scalar-likestuple[int]for scalar sequences,memoryviews andbytearraystuple[int, int]for sequences of scalar sequences, e.g.[[1, 0], [0, 1]]tuple[int, ...]forndarray[Any, Any](so notAny, see TYP: Stop usingAnyas shape-type default #27211 for details)ShapeType: tuple[int, ...]for objects with ashape: ShapeTypeproperty, which includesdtypeandndarray, unlessShapeTypeis bound toAny(npt.NDArraycurrently does this). This doesn't work on mypy, probably due to one of its (many) bugs. I wasn't able to find a workaround for this unfortunately (dimension-specific overloads aren't even possible, as that would also matchNDArray).tuple[int, ...]for any other array-likes