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PLEASE COMMENT, BUT DO NOT MERGE
because, apart from discussion, a test is still needed ...
Purpose:
User code often forms multiple stats, where data may be very large.
= several small, lazy, calculated results derived from same large, lazy data
Calculation scans the data, each time you realise one.
This can + should be done in parallel with
da.compute(*dask_stats_arrays)
.We need to assign back into Iris cube.data elements.
I can't find a neat Python idiom for this, so we can provide a simple utility routine.
Note: I'm proposing to put this in package
iris
itself, as I don't rate the alternatives :iris._lazy_data
is privateiris.utils
, on inspection, I think is for "handy things you might just have written yourself"whereas : this code uses knowledge of internals.