[Numpy-discussion] Re: ENH: add functionality NpyAppendArray to numpy.format

2021-11-08 Thread Michael Siebert
My memories reappeared: 3. One could think about allowing variable sized .npy files without header modification at all, e.g. by setting the variable sized shape entry (axis 0) to -1. The length of the array would then be inferred by the file size. However, what I personally dislike about that appro

[Numpy-discussion] Re: Deprecate np.MachAr?

2021-11-08 Thread Matthew Brett
Hi, On Sat, Nov 6, 2021 at 4:54 PM Ralf Gommers wrote: > > > > On Tue, Oct 26, 2021 at 9:20 PM bas van beek wrote: >> >> Hi all, >> >> >> >> The subject of `MachAr` recently came up in >> https://github.com/numpy/numpy/pull/20132 and >> >> an earlier community meeting, more notably: it’s questi

[Numpy-discussion] Re: Percentile/Quantile "interpolation" refactor

2021-11-08 Thread Norma Dye
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[Numpy-discussion] Re: Revert the return of a single NaN for `np.unique` with floating point numbers?

2021-11-08 Thread Sebastian Berg
On Fri, 2021-11-05 at 18:44 -0500, Juan Nunez-Iglesias wrote: > I agree with the argument to revert. Consistency among libraries should > be near the top of the list of priorities, as should performance. > Whether the new behaviour "makes more sense", meanwhile, is debatable. > I don't have much

[Numpy-discussion] Re: Make the pickle default protocol 4.

2021-11-08 Thread Sebastian Berg
On Sun, 2021-11-07 at 12:36 -0700, Charles R Harris wrote: > Hi All, > > I'd like to propose making the NumPy default pickle protocol 4, the > same as > the Python 3.8 default. That would have the advantage of supporting > large > pickles. The current default protocol is 2, last the default in > P

[Numpy-discussion] Re: Make the pickle default protocol 4.

2021-11-08 Thread Hameer Abbasi
Hi all, > Am 08.11.2021 um 19:15 schrieb Sebastian Berg : > > On Sun, 2021-11-07 at 12:36 -0700, Charles R Harris wrote: >> Hi All, >> >> I'd like to propose making the NumPy default pickle protocol 4, the >> same as >> the Python 3.8 default. That would have the advantage of supporting >> large

[Numpy-discussion] Re: branching NumPy 1.22.x

2021-11-08 Thread Aaron Meurer
I would really like to get my array API PRs in the next release. They are https://github.com/numpy/numpy/pull/20066 and https://github.com/numpy/numpy/pull/19980. Currently both require a few updates from me before they can be merged. I will ping on them when they are ready. I hope to have them in