Keaton Burns

With #196, the tensor axes are now skipped (no scales) so that the spatial scales are at least attached to the correct dimensions.

Thanks! I think we're planning to move most of these examples out of this repo and into the "dedalus-spheres" repo actually, so it might make sense to wait until that's...

**Original comment by Navid Constantinou (Bitbucket: [navidcy](https://bitbucket.org/%7Ba80b816f-2e3f-4a63-b23a-b6849e64598f%7D/)).** ---------------------------------------- Something like this, for example? [https://github.com/FourierFlows/BenchFourierFlows.jl/blob/764043321feaf3d98e68c056bc8ac958a29c9c01/dedalus/dedalus\_decaying2Dturbulence.py](https://github.com/FourierFlows/BenchFourierFlows.jl/blob/764043321feaf3d98e68c056bc8ac958a29c9c01/dedalus/dedalus_decaying2Dturbulence.py) But with a simpler initial condition. E.g., `psi['g'] = np.random.randn(nx, ny)`

**Original comment by J. S. Oishi (Bitbucket: [jsoishi](https://bitbucket.org/%7Bab7c2db2-7642-47a8-9264-0939f601d904%7D/)).** ---------------------------------------- * changed assignee_account_id from "557058:e31a7835-5317-4dfa-8551-f32a06f40279" to "557058:94f96ca9-adbd-4972-8f41-b00b9683f819" * changed assignee from "kburns (Bitbucket: [kburns](https://bitbucket.org/kburns))" to "jsoishi (Bitbucket: [jsoishi](https://bitbucket.org/jsoishi))"

Still getting ggev errors with libopenblas 0.3.21.

Opened an issue on the openblas repo: https://github.com/xianyi/OpenBLAS/issues/3735.

The dense eigenvalue (ggev) errors are fixed with https://github.com/conda-forge/openblas-feedstock/pull/144 and https://github.com/conda-forge/openblas-feedstock/pull/145, so builds 1+ for libopenblas 0.3.21 from conda-forge should work. Sparse problems still persist.

Sparse problems seem to be fixed with scipy 1.9.1, so native-arm conda builds now pass all tests and run the examples. They still don't have higher-precision support in numpy, though,...

Yes that's all correct, and indeed we're working on a major rewrite (in the "d3" branch) that supports multiple coupled dimensions, among many other new features. The non-trivial part, though,...

With #185, we have support for EVPs in the spherical shell that depend on both radius and latitude.