On Mon, Sep 22, 2014 at 5:31 AM, Nathaniel Smith <n...@pobox.com> wrote:
> On Sun, Sep 21, 2014 at 7:50 PM, Stephan Hoyer <sho...@gmail.com> wrote: > My feeling though is that in most of the cases you mention, > implementing a new array-like type is huge overkill. ndarray's > interface is vast and reimplementing even 90% of it is a huge effort. > For most of the cases that people seem to run into in practice, the > solution is to enhance numpy's dtype interface so that it's possible > for mere mortals to implement new dtypes, e.g. by just subclassing > np.dtype. This is totally doable and would enable a ton of > awesomeness, but it requires someone with the time to sit down and > work on it, and no-one has volunteered yet. Unfortunately it does > require hacking on C code though. > I'm unclear about the last sentence. Do you mean "improving the dtype system will require hacking on C code" or "even if we improve the dtype system dtypes will still have to be written in C"?
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