Justus Magin
Justus Magin
The PR has been merged today, so now we're waiting on a jupyterlite release (or someone who figures out how to use it from `main`)
Not sure if he didn't leave for the week-end already, but @GwenaelCaer has created a documentation website with a lot of details on the optimization: https://odatis-public.gitlab-pages.ifremer.fr/fast_vindex/index.html Does that answer your...
> My conclusion earlier was that we'd need two algorithms to handle the two cases If I remember correctly, the proposed algorithm doesn't try to work with point-wise indexing, it...
> Hmmm I don't understand It appears I might have confused myself. After clearing my head a bit I think you're right in that the arrays could be broadcasted against...
I believe it's a hybrid between vectorized and orthogonal indexing: if we have the three arrays of shape `(n_points, index_size)`, we want the last dimension to be orthogonal and the...
thanks, I've changed the example back to using your fork
I guess the problem is that `slice(None, None, -1)` is not representable as a concrete slice: `s.indices(8)` returns `(7, -1, -1)`, which we can feed into `range` to get the...
should we execute the code blocks in the example (by converting them to `jupyter-execute` blocks)? That way, we'd notice if the block raises.
see also #6304 which covers `xr.broadcast`
for this to work we would need `sphinx.ext.napoleon` to support tuples, which even after changing in `sphinx` will take a while to get (some of our docs dependencies have upper...