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  • shoyer · 2 ✖

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  • NumPy `__array_ufunc__` does not work with typing · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1146873595 https://github.com/pydata/xarray/issues/6524#issuecomment-1146873595 https://api.github.com/repos/pydata/xarray/issues/6524 IC_kwDOAMm_X85EW-b7 shoyer 1217238 2022-06-05T19:54:47Z 2022-06-05T19:54:47Z MEMBER

error: "ndarray[Any, dtype[Any]]" has no attribute "rename"

Yes, it's worth discussing. I don't know if there will be a satisfying resolution, though.

 
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   NumPy `__array_ufunc__` does not work with typing 1217425815
1111813044 https://github.com/pydata/xarray/issues/6524#issuecomment-1111813044 https://api.github.com/repos/pydata/xarray/issues/6524 IC_kwDOAMm_X85CROu0 shoyer 1217238 2022-04-28T06:52:04Z 2022-04-28T06:52:04Z MEMBER

I think this would need to get updated on the NumPy side. Ideally NumPy ufuncs would be typed to check for __array_ufunc__. Something like: ```python from typing import Protocol, TypeVar

class HasArrayUFunc(Protocol): def array_ufunc(ufunc, method, inputs, *kwargs): pass

ArrayOrHasArrayUFunc = TypeVar("ArrayOrHasArrayUFunc", ndarray, HasArrayUFunc)

def exp(x: ArrayOrHasArrayUFunc) -> ArrayOrHasArrayUFunc: ... ```

 
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   NumPy `__array_ufunc__` does not work with typing 1217425815

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