Francesc Alted

Yes, I agree with all @gdementen has expressed.

Yes, I don't see problems if the functions are in C and can be embedded in numexpr. However, one thing that worries me is if there is much point in...

Yes: ``` $ python -c"import numexpr; numexpr.print_versions()" -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Numexpr version: 2.6.4 NumPy version: 1.14.2 Python version: 3.6.5 |Anaconda, Inc.| (default, Apr 26 2018, 08:42:37) [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]...

Well, I think that evaluating Bessel functions inside numexpr is really too specific. numexpr comes with a virtual machine for evaluating expressions that has to lookup for many operators and...

Agreed. Feel free to contribute a patch if you want to.

Definitely. We have designed Caterva as a multidimensional building block with the intention that other libraries can leverage it; so I think it makes totally sense (and we would be...

AFAIK we have not implemented yet an accessor to the compressed data in python-caterva, but even if we did, I am afraid that you couldn't immediately leverage it because Caterva...

> We see the following **requirements** to implement sharding support: > > 1. Add shard abstraction (multiple chunks in a single file/storage object) > 2. Chunks should continue to be...

> This is absolutely not true Francesc. Speaking as a Zarr core dev, my preferred solution would be to implement sharding with Blosc2. (Not sure that Caterva is needed.) I...

It has been a long week and you are asking a lot of questions, but let me try to do my best in answering (at the risk of providing some...