Andreas Noack

@KristofferC bumping this again

Unfortunately, I don't remember why I made that change and I agree that it looks wrong to use `Int64` instead of `Int`.

Which versions of Julia and packages are you using?

Related to #198 and #199

As mentioned in #324, the right solution is probably to just overload `StatsBase.transform`

It might be the right solution but we might also want to use the `verified_destination_serializer` in other places. We are using it in `scale!` and if the scaling vector is...

Fine. Thanks for looking into it.

It looks like it actually scales ```julia julia> @time map(x->sleep(0.005), a); 0.098876 seconds (58.11 k allocations: 2.854 MiB) julia> @time map(x->sleep(0.005), da); 0.282395 seconds (689.12 k allocations: 35.036 MiB, 3.20%...

It doesn't explain my `sleep` example though. I just tried the same example in Julia 0.3 and got ```julia julia> @time map(x->(sleep(0.005);x), a); elapsed time: 0.071501629 seconds (5472 bytes allocated)...

Good observation. After setting the number of threads to one on the master process, the original example becomes ```julia julia> function f() a = fill(1000,10) da = distribute(a) @time map(t...