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While doing the other PR I stumbled upon an issue with sparse 0.16, which is not yet released. In the SpatialAverager, when the polygon has holes, we compute the weights of the holes and then invert them. The inversion of a COO array also inverts its fill_value. Weights are float, so a fill value of 0.0 gets reverted to -0.0. It seems that up to sparse 0.15.4, this was not a problem but with 0.16, the subsequent concatenation of the weights fails. I was told that this was not a bug : pydata/sparse#802

So here is a fix for that.

Also, I modified the __del__ methods. When the __init__ of either Regridder or SpatialAverager fails before reaching the super().__init__, self.grid_in doesn't exist yet. The AttributeError raised when deleting the object is not raised in the main thread, but emits a warning instead. This avoids that.

@aulemahal aulemahal requested a review from huard October 31, 2024 19:39
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looks good!

@raphaeldussin raphaeldussin merged commit c370297 into master Oct 31, 2024
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@raphaeldussin raphaeldussin deleted the fix-sparse-change branch October 31, 2024 19:45
@aulemahal
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@raphaeldussin @huard I was thinking of releasing v0.8.8 soon, so that we can address the xesmf-feedstock issue/pr have a version fully compatible with xarray. Do you see any other PRs or issues we could/should add in before ?

@raphaeldussin
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I think that's a good idea! how are we doing with PR #253 ?
is there closure on the horizon?

@aulemahal
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According to the top comment, it depends on the status of another PR, which is not merged yet!

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3 participants