ENH: Add dtype-support to 3 generic/ndarray methods #19140
Merged
charris merged 2 commits intonumpy:mainfrom Jun 6, 2021
Merged
ENH: Add dtype-support to 3 generic/ndarray methods #19140charris merged 2 commits intonumpy:mainfrom
generic/ndarray methods #19140charris merged 2 commits intonumpy:mainfrom
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* `astype` * `getfield` * `view`
BvB93
commented
May 31, 2021
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| @overload | ||
| def astype( | ||
| self, | ||
| dtype: _DTypeLike[_ScalarType], | ||
| order: _OrderKACF = ..., | ||
| casting: _Casting = ..., | ||
| subok: bool = ..., | ||
| copy: bool = ..., | ||
| ) -> NDArray[_ScalarType]: ... | ||
| @overload | ||
| def astype( | ||
| self, | ||
| dtype: DTypeLike, | ||
| order: _OrderKACF = ..., | ||
| casting: _Casting = ..., | ||
| subok: bool = ..., | ||
| copy: bool = ..., | ||
| ) -> NDArray[Any]: ... |
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dtype-support is, for now, limited to dtype-likes that can be parametrized w.r.t. np.generic.
For all others the dtype will be set to Any.
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| @overload | ||
| def view( | ||
| self, | ||
| dtype: DTypeLike, | ||
| type: Type[_NdArraySubClass], | ||
| ) -> _NdArraySubClass: ... |
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Unfortunately we can't express the return of an ndarray-subclass with a specific dtype
(e.g. ndarray[float64] -> matrix[int64]). This would require higher-kinded TypeVars, which we don't have.
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Thanks Bas. |
This was referenced Aug 24, 2021
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This PR adds dtype-support to the annotations of the following 3
generic/ndarraymethods:astypeviewgetfield