Tom White comments

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                                            Tom White

Ray Executor

I added some notes on how to write a new executor in #498.

I've added initial support for Ray in #687. I tested it on a local cluster using this `cubed.yaml` file: ``` spec: allowed_mem: "2GB" executor_name: "ray" executor_options: ray_init: runtime_env: pip: "/Users/tom/workspace/cubed/requirements.txt"...

Ray Executor

I've now run on a small Ray cluster on AWS: see #769.

Ray Executor

Thanks Alex!

Speed difference when lazy loading ERA5 zarr v3 data

Thank for opening this issue @songhan89. It's not immediately obvious why this is slower - it will need a bit of investigation.

Run tests against array-api-strict

Yes, although it will be quite a bit of work since we are implicitly using NumPy dtypes everywhere, which are not interchangeable with dtypes from the array API standard. E.g....

Adding `compile_function` as execute option.

Thanks @alxmrs!

CuPy-specific implementation of `random`

Run tests on Python 3.13 (currently beta)

Tests pass on Python 3.13 (with one exception, which seems to be a flaky test). This can be left until Python 3.13 is released.

Rewrite "why cubed?" for users

Thanks for opening this @TomNicholas! > Perhaps we should move the existing text to e.g. `design/motivation` Definitely. It's mainly of historical interest, so should be moved down to the bottom...