xnd.array.ufunc is a bit of a mouthful ¯_(ツ)_/¯
[Hameer Abbasi] Then xnd.array is a valid subclass of xnd.xnd, but this doesn’t hold for MaskedArrays or matrix objects.
astropy.Quantity is valid sometimes and sometimes errors, assuming consistency of units and no conversion. If inconsistent units are supplied, it violates Liskov in this form.
If we have a much more relaxed definition, such that the dtype and the shape have to be consistent (type in xnd-speak), and errors are allowed, then MaskedArray and unit become valid.
[Sameer Deshmukh] @ralf.gommers I think this message states that the latest ndtypes does not need refcounting. Let me try updating this on the ruby side and then I can update you on what is going on as of now.
An update on reference counted types and the history:
The Numba team was concerned about having reference counted types in libndtypes. However, the more I looked at it, I can't see any harm. For example, ...
t = ndt_string(ctx);
ndt_del(t).... is now just:
t = ndt_string(ctx);
ndt_decref(t);So refcounting is all internal to libndtypes and has nothing to do with Python refcounting.
It is all implemented in the latest libndtypes.
One implementation detail: An ndt_t * is now always const except for the refcnt field. ndt_decref(const ndt_t *) follows the convention in the Linux kernel, where kfree() takes a const void *.
The convention in the Linux kernel has been the source of some controversy. I understand some of the counter arguments, but on the whole I think it's a good idea. More here:
const *, which has Linus' endorsement but might lead to raised eyebrows elsewhere.
[Stefan Krah] I've implemented flexible ND arrays, which are more versatile than the offset-based var dimensions.
These are needed for quirky formats like GeoSON.
The trade-off is that they are not in a single memory block.
You can now assign subarrays of different sizes:
>>>
>>> x = xnd([[0], [1, 2]], type="array of array of int64")
>>> x
xnd([[0], [1, 2]], type='array of array of int64')
>>> x[0] = [1000, 2000, 3000]
>>> x
xnd([[1000, 2000, 3000], [1, 2]], type='array of array of int64')
>>>[Stefan Krah] Nice, this also needs to be resolved, probably on the NumPy side:
Calendar event was cancelled
XND meeting
March 22nd, 2019 from 9:00 AM to 10:00 AM GMT-0400
Recurring
[Sameer Deshmukh] Can someone please explain the possible cause of this error: util.c:140: internal error: invalid value?
It happens during the GC sweep phase in Ruby, and I'm not able to understand whether this is due to premature deallocation or something else, because line 140 in util.c uses a switch-case statement utilizing a pointer to an ndt.
ndtype(float * float * float [m/s]) or similar