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I tried looking into this a while ago but I got stuck, because I found no examples of an aggregation where the shape stays the same. If you have more guidelines/ideas where to look it would be appreciated.
We'll need something like that with custom binop and merge.
I would try to get method="sequential" working first.
I would also try really hard to just reuse the cumreduction building block if we can. The annoyance is that we will need to propagate arrayandgroup_idx so something like
Supporting just numpy should be relatively easy. This will also work for
method="blockwise"
by default.We may want to rename
groupby_reduce
togroupby_agg
?For dask proper, we'll need to use
dask.array.cumreduction
instead ofdask.array.blockwise
+dask.array.reductions._tree_reduce
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