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Lacking standards for this some netcdf files come with a complex
dimension. Some python libraries support this:
https://unidata.github.io/netcdf4-python/#support-for-complex-numbers
But I don't think any julia libraries do?
It would be very general and flexible if we could do this at the DiskArrays level for any backend library, using reinterpret
like Base julia arrays. This would turning small leading dimensions intro static arrays, tuples or structs like Complex.
Higher level packages like Rasters could have a keyword like reinterpet=:complex => Complex
that would call reinterpret on load and swap the complex
dimension to Complex
numbers, or e.g. reinterpret=:band => RGB
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