Den tors 10 nov. 2022 kl 13:10 skrev Sebastian Berg < sebast...@sipsolutions.net>:
> On Thu, 2022-11-10 at 11:08 +0100, Oscar Gustafsson wrote: > > > > > > I'm not an expert, but I never encountered rounding floating point > > > numbers > > > in bases different from 2 and 10. > > > > > > > I agree that this is probably not very common. More a possibility if > > one > > would supply a base argument to around. > > > > However, it is worth noting that Matlab has the quant function, > > https://www.mathworks.com/help/deeplearning/ref/quant.html which > > basically > > supports arbitrary bases (as a special case of an even more general > > approach). So there may be other use cases (although the example > > basically > > just implements around(x, 1)). > > > To be honest, hearing hardware design and data compression does make me > lean towards it not being mainstream enough that inclusion in NumPy > really makes sense. But happy to hear opposing opinions. > Here I can easily argue that "all" computations are limited by finite word length and as soon as you want to see the effect of any type of format not supported out of the box, it will be beneficial. (Strictly, it makes more sense to quantize to a given number of bits than a given number of decimal digits, as we cannot represent most of those exactly.) But I may not do that. > It would be nice to have more of a culture around ufuncs that do not > live in NumPy. (I suppose at some point it was more difficult to do C- > extension, but that is many years ago). > I do agree with this though. And this got me realizing that maybe what I actually would like to do is to create an array-library with fully customizable (numeric) data types instead. That is, sort of, the proper way to do it, although the proposed approach is indeed simpler and in most cases will work well enough. (Am I right in believing that it is not that easy to piggy-back custom data types onto NumPy arrays? Something different from using object as dtype or the "struct-like" custom approach using the existing scalar types.) BR Oscar Gustafsson
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