Viewing profile — ngoldbaum

I’m saying that it’s a new issue on the free-threaded build.

There’s also the fact that INCREF and DECREF on shared objects is a lot more expensive than plain integer addition, so stuff becomes a bottleneck that was never a bottleneck. Kumar…

I’m not sure why it took me, a NumPy developer, looking at the benchmark numbers and saying “hmm, this is a bug”. But that is what it took. People are sometimes slow to treat behav…

I’m glad you enjoyed the post. It really helped me to crystallize my understanding. I was also confused about the API/ABI distinction for a long time.

Thanks for pointing that out, I’ll fix that.

I wonder why the github status page has an atlassian cookie request pop-up.

Either something about beanie babies or something riffing on "thank you". Couldn't ever make up my mind then basically forgot about it.

I gave away the “ty” project name on pypi to Astral a week or so ago. I wanted to use it for a joke a few years ago but this is a much better use for a two letter project name. The…

You could do two passes over the string, first get the total length in bytes, then fill it in codepoint by codepoint. You could also pessimistically over-allocate assuming four byt…

The main difference is the strings are stored in a single contiguous arena buffer (with some minor caveats if you mutate the array in-place). With object strings each string has it…

Ah I could see how that’s confusing. I was trying to indicate that the size stored for the string in the example is 28, but it’s stored in a 64 bit uint.

They’re stored on the DType instance. This requires that there’s only one DType instance per “owned” array buffer, which I figured out how to do along with Sebastian Berg and other…

That is something I’d like to see but I don’t want to wade into the already very complicated discussion around arrow strings in pandas. If a Pandas developer wanted to take this on…

This was a case of convergent evolution, both projects ended up working simultaneously on similar ideas. One issue with using Arrow directly in NumPy is PyArrow exposes an immutabl…

Well, there was no concept of sidecar storage. Now we have the hack we came up with for StringDType to store data on the DType instance and also make it so StringDType arrays don't…

Thank you this really means a lot.

No, it wouldn’t make sense to. Use threading.Lock for that. PyMutex is available in the CPython C API.

https://github.com/numpy/numpy/issues/26510#issuecomment-229... And now that I look at that again I realize I forgot to finish that up!