Hi all, as a heads up that Peter Entschev has a PR open to add `like=` to most array creation functions, my current plan is to merge it soon as a preliminary API and bring it up again before the actual release (in a few months). This allows overriding for array-likes, e.g. it will allow: arr = np.asarray([3], like=dask_array) type(arr) is dask.array.Array This was proposed in NEP 35: https://numpy.org/neps/nep-0035-array-creation-dispatch-with-array-function.... Although that has not been accepted as of now, the PR is: https://github.com/numpy/numpy/pull/16935 This was discussed in a smaller group, and is an attempt to see how we can make the array-function protocol viable to allow packages such as sklearn to work with non-NumPy arrays. As of now, this would be experimental and can revisit it before the actual NumPy release. We should probably discuss accepting NEP 35 more. At this time, I hope that we can put in the functionality to facilitate this discussion, rather the other way around. If anyone feels nervous about this step, I would be happy to document that we will not include it in the next release unless the NEP is accepted first, or at least hide it behind an environment variable. Cheers, Sebastian