Hi all, I just pushed some commits to the numpy-user-dtypes repo ( https://github.com/numpy/numpy-user-dtypes) that fixes compatibility with the public version of the DType API that shipped in NumPy 2.0. If you’ve been waiting for some runnable examples to look at before trying to write your own DType, wait no more!
Also Swayam Singh, an intern at Quansight Labs this summer, will be working on an extended precision float DType in the user dtypes repo to hopefully allow a migration path for users of the NumPy 80 bit long double DType so NumPy can eventually deprecate and remove it. If you’re curious about any of that please subscribe to the repo and open issues or respond here. Nathan
_______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
