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1333644214 PR_kwDOAMm_X8486DyE 6903 Duckarray tests for constructors and properties TomNicholas 35968931 open 0     5 2022-08-09T18:36:56Z 2024-01-01T13:33:22Z   MEMBER   0 pydata/xarray/pulls/6903

Builds on top of #4972 to add tests for Variable/DataArray/Dataset constructors and properties when wrapping duck arrays.

Adds a file xarray/tests/duckarrays/base/constructors.py which contains new test base classes.

Also uses those new base classes to test Sparse array integration (not yet tried for pint integration).

  • [x] Closes part of #6894
  • [ ] Tests added (tests for tests?? Maybe...)
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst
 
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     xarray 13221727 pull
2038153739 I_kwDOAMm_X855e8IL 8545 map_blocks should dispatch to ChunkManager TomNicholas 35968931 open 0     5 2023-12-12T16:34:13Z 2023-12-22T16:47:27Z   MEMBER      

Is your feature request related to a problem?

7019 generalized most of xarrays internals to be able to use any chunked array type that we can create a ChunkManagerEntrypoint for. Most functions now go through this (e.g. apply_ufunc), but I did not redirect xarray.map_blocks to go through ChunkManagerEntrypoint.

This redirection works by dispatching to high-level dask.array primitives such as dask.array.apply_gufunc, dask.array.blockwise, and dask.array.map_blocks. However the current implementation of xarray.map_blocks is much lower-level, building a custom HLG, so it was not obvious how to swap it out.

Describe the solution you'd like

I would like to either:

1) Replace the current internals of xarray.map_blocks with a simple call to ChunkManagerEntrypoint.map_blocks. This would be the cleanest separation of concerns we could do here. Presumably there is some obvious reason why this cannot or should not be done, but I have yet to understand what that reason is. (either @dcherian or @tomwhite can you enlighten me perhaps? 🙏)

2) (More likely) refactor so that the existing guts of xarray.map_blocks are only called from the ChunkManagerEntrypoint, and a non-dask chunked array (i.e. cubed, but in theory other types too) would be able to specify how it wants to perform the map_blocks.

Describe alternatives you've considered

Leaving it as the status quo breaks the nice abstraction and separation of concerns that #7019 introduced.

Additional context

Split off from https://github.com/pydata/xarray/issues/8414

 
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     xarray 13221727 issue
1424215477 I_kwDOAMm_X85U4821 7227 Typing with Variadic Generics in python 3.11 (PEP 646) TomNicholas 35968931 open 0     5 2022-10-26T15:03:01Z 2022-10-26T21:50:02Z   MEMBER      

What is your issue?

I just saw this new typing feature in python 3.11, and I'm wondering whether / where we could usefully use this? The feature is parametrizing Generics with arbitrary numbers of TypeVars, which allows you to have Array types whose static typing behaviour is a function of their shape. (But we could possibly use it for a tuple of dims too...) We might use it to do things like:

  • Specify that a function expects an array of a certain dimensionality
  • Overload methods based on the array dimensionality (e.g. .plot for 1D vs 2D arrays)
  • (If they implement Shape Arithmetic) Type hint how certain methods will change the output shape?

@headtr1ck @max-sixty any thoughts?

 
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     xarray 13221727 issue

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