I can see that. I wanted to be more caught up with the discussions around this
than anything else.
Although I also have a lot of free time right now temporarily, and could make
an attempt at implementing it. Is there any other channel I can get more
feedback on this?
This is interesting, thank you for pointing it out! Good to know this is not a
Numpy-only problem, I guess lol. Though the proposed syntax looks similar to my
idea, I believe they are talking about a different problem there relating to
translating python code to an accelerated language. I simply
I am aware that to do unbuffered addition operation, I can use `np.add.at` like
this:
```
np.add.at(arr, idxs, vals)
```
I think this syntax looks a bit unnatural, and it is not obvious what it does
at first glance. An idea I have is to use a custom accessor, like
```
arr.at[idxs] += vals
# or
a
