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Distributed Arrays in Julia

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This pull request sets the compat entry for the `Statistics` package to `1`. This keeps the compat entries for earlier versions. Note: I have not tested your package with this...

Bumps [actions/checkout](https://github.com/actions/checkout) from 3 to 4. Release notes Sourced from actions/checkout's releases. v4.0.0 What's Changed Update default runtime to node20 by @​takost in actions/checkout#1436 Support fetching without the --progress option...

dependencies

Hello, If the user has bothered to pass an explicit distribution, respect it in `similar` arrays. This prevents behavior as below: ``` julia> dd=drand((10,10),workers(),[2,1]); julia> ds=similar(dd); julia> ds.indices 1x2 Array{Tuple{UnitRange{Int64},UnitRange{Int64}},2}:...

The documentation says the following about `ddata`: > The function `ddata(;T::Type=Any, init::Function=I->nothing, pids=workers(), data::Vector=[])` can be used to created a distributed vector whose localparts need not be Arrays. > ......