TL;DR: NumPy scalars representation is e.g. `34.3` instead of
`float32(34.3)`. So the representation is missing the type
information. What are your thoughts on changing that?
Hi all,
I am thinking about the next steps for NEP 50 (The NEP wants to fix the
NumPy promotion rules, especially with respect to scalars):
https://numpy.org/neps/nep-0050-scalar-promotion.html
In relation to that, there was one point that Stéfan brought up
previously.
The NumPy scalars (representation) currently print as numbers:
>>> np.float32(34.3)
34.3
>>> np.uint8(5)
5
That can already be confusing now. However, it gets more problematic
if NEP 50 is introduced since the behavior between a Python `34.3` and
`np.float32(34.3)` would differ more than it does now (please refer to
the NEP).
The change would be that we should print as:
float64(34.3) (or similar?)
This Email is mainly to ask for any feedback or concern on such a
change. I suspect we may have to write a very brief NEP about it.
If there is little concern, maybe we could move forward such a change
promptly. Otherwise it could be moved forward together with NEP 50 and
take effect in a "major" release [1].
Cheers,
Sebastian
[1] Note that for me, even a major release would hopefully not affect
the majority of users or be very disruptive.
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