Support running on distributed compute engines like Dask, and Spark via Zap #283
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These changes enable Scanpy's pre-processing functions to run on distributed engines including Dask and Spark. The Spark integration itself relies on Zap for a distributed version of NumPy.
The main change is the
materialize_as_ndarrayfunction that is used at certain points of the computation to materialize intermediate results (not the full matrix). This is a no-op in the non-distributed case.