ArrayInterface.jl

The AbstractArray interface in Base Julia is still relatively young. The purpose of this library is to solidify extensions to the current AbstractArray interface, which are put to use in package ecosystems like DifferentialEquations.jl. Since these libraries are live, this package will serve as a staging ground for ideas before they are merged into Base Julia. For this reason, no functionality is exported so that if such functions are added and exported in a future Base Julia, there will be no issues with the upgrade.

List of things to add

• JuliaLang/julia#22216
• JuliaLang/julia#22218
• JuliaLang/julia#22622
• JuliaLang/julia#25760
• JuliaLang/julia#25107

Array Types to Handle

The following common array types are being understood and tested as part of this development.

• Array
• Various versions of sparse arrays
• SArray
• MArray
• FieldVector
• ArrayPartition
• VectorOfArray
• DistributedArrays
• GPUArrays (CLArrays and CuArrays)
• AFArrays
• MultiScaleArrays
• LabelledArrays

Breaking Release Notes

6.0: ArrayInterface.jl completely removed all usage of Requires.jl and conditional dependencies due to compile time impact. All of the Requires.jl support changed to subpackages within the repository which are registered in the General registry. These subpackages are required by any packages which seek to use the additional functionality.

2.0: Changed the default of ismutable(array::AbstractArray) = true. We previously defaulted to Base.@pure ismutable(array::AbstractArray) = typeof(array).mutable, but there are a lot of cases where this tends to not work out in a way one would expect. For example, if you put a normal array into an immutable struct that adds more information to it, this is considered immutable, even if all of the setindex! methods work (by forwarding to the mutable array). Thus, it seems safer to just always assume mutability is standard for an array, and allow arrays to opt-out.