On 11/10/20 8:19 PM, Ralf Gommers wrote:
Hi all,
I'd like to share an update on this topic. The draft array API standard is now ready for wider review:
- Blog post: https://data-apis.org/blog/array_api_standard_release <https://data-apis.org/blog/array_api_standard_release/> - Array API standard document: https://data-apis.github.io/array-api/latest/ - Repo: https://github.com/data-apis/array-api/
It would be great if people - and in particular, NumPy maintainers - could have a look at it and see if that looks sensible from a NumPy perspective and whether the goals and benefits of adopting it are described clearly enough and are compelling.
I think it is compelling for a first version. The test suite and benchmark suite will be valuable tools. I hope future versions standardize complex numbers as a dtype. I realize there is a limit to the breadth of the scope of functions to be covered. Is there a page that lists them in one place? For instance I tried to look up what the standard has to say on issue https://github.com/numpy/numpy/issues/17760 about using bincount on unt64 arrays. It took me a while to figure out that bincount was not in the API (although unique(..., return_counts) is). Matti