David Pilger comments

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                                            David Pilger

nc::linalg::lstsq very slow

Thank you @moe123, i'll take a look. I assume you are referring to your SVD implementation [here](https://github.com/moe123/macadam/blob/master/macadam/details/numa/mc_svdmxn.h)? Do you have any bench marks for this code, like on an 8905x316...

nc::sum(NdArray<bool>) gives wrong result

`NumCpp` returns the same `dtype` as the input `NdArray`, leaving the onus on the user to make sure the array is of a correct `dtype` to not overflow the summation....

np.linalg.eigvals === ??

It's slated for the next release. A new baby at home has slowed things down though so will probably be another month or two.

FFT function

No it does not currently, but I do have it on my list to include in the next release.

max and min are already defined.

Yep that's unfortunate, but nothing can be done about it.

Update it in vcpkg, last version of NumCpp in vcpkg is 2.6.0, update the latest one to vcpkg please

Opened a new issue against Vcpkg https://github.com/microsoft/vcpkg/issues/26476

RISC-V Support

What toolchain are you building with?

Question :: It could be used inside a CUDA kernel ?

It has been several years since I last played around with any CUDA, and even then it was only little bits... With that said, I don't believe NumCpp would work...

nc.reshape not support 3-dimension array, can you add an overloading function?

This has been asked and answered many times... No it doesn't, please see the documentation.

np.linalg.eigvals === ??

Yes, if you've got knowledge in this area I'd be happy to see pull requests.