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Help to distinguish between the variable 'cost' and the swap dataset formerly also called 'cost'.
Instead of assuming that cost chunk shape is equal to all source variables' chunks, we now request input features with ArraySubset.
Those will be removed, but for now let's just silence the warning.
It should be considered an error to request a features variable that doesn't exist or a subset outside the domain.
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Migrate away from
LazyChunktoLazySubsetso we avoid assumptions on the chunk's shapes from input features as well as output costs.Spin off from #96, which was getting too large and covering multiple scopes.
This is a requirement to allow a cost with a chunk shape different than the input features. It also do not impose that input features dataset to have one single chunk grid between all variables.